Siliconware Precision Industries Co., Ltd._矽品精密工業股份有限公司
About the Role Join our engineering team as a Process Engineer in a dynamic semiconductor manufacturing environment. This on-site position operates according to established shift schedules and is perfectly suited for individuals who excel at executing within stable processes and well-defined procedures while steadily building professional value. We welcome graduates in Taiwan who are overseas Chinese students and provide comprehensive support including work permit applications and accommodation arrangements. Key Responsibilities Parameter Verification & Validation: Verify critical parameters including PPID upload processes and validate post-value data against established platform specifications to ensure compliance with quality standards DOE Execution: Execute Design of Experiments (DOE) plans involving parameter adjustments and jig changes while systematically collecting post-value data for analysis Data Analysis & Benchmarking: Check post-value data thoroughly and benchmark results against Best Known Methods (BKM) to maintain process excellence Quality Assurance: Perform comprehensive quality buy-off procedures following machine modifications to ensure operational integrity Problem Resolution: Analyze technical issues through DRB mapping methodologies and provide critical support for root cause identification initiatives Process Enhancement: Support continuous process improvement initiatives and collect fan-out data for comprehensive evaluation and optimization Documentation: Maintain accurate records of all processes, modifications, and results in accordance with company standards Compliance: Ensure all activities comply with safety protocols, quality standards, and regulatory requirements Collaboration: Work effectively with cross-functional teams including production, quality assurance, and maintenance departments Requirements Education: Bachelor's degree in Engineering, Industrial Technology, Mechanical Engineering, or related technical field Language Skills: Proficient English (TOEIC score of 400 or above with supporting documentation required before interview); Basic Mandarin language capability preferred Experience: No prior work experience required - comprehensive long-term training provided to develop engineering and technical expertise Shift Work: Must be able to cooperate with rotating day and night shifts, with shift changes occurring every 3 to 6 months Schedule Flexibility: Ability to work day shift (07:00-19:00) and night shift (19:00-07:00) on a rotating basis Overtime Availability: Candidates who can cooperate with overtime work are preferred (typically three days on duty followed by one day off) Technical Aptitude: Strong analytical and problem-solving skills with attention to detail Adaptability: Ability to learn new processes quickly and adapt to changing technical requirements Work Environment & Benefits Location: Taiwan, Taichung/Changhua region Schedule: Full-time position with rotating shift work Training: Comprehensive long-term professional development program focused on engineering and technical expertise Career Development: Opportunity to build valuable professional skills in semiconductor manufacturing Support Services: For eligible overseas Chinese students graduating in Taiwan, assistance provided with work permit applications and accommodation arrangements Competitive Compensation: Attractive salary package commensurate with experience and qualifications This role offers an excellent opportunity for engineering graduates to begin their careers in the semiconductor industry with comprehensive training and support while contributing to critical manufacturing processes in a stable, professional environment.
Siliconware Precision Industries Co., Ltd._矽品精密工業股份有限公司
Manufacturing Equipment Technician - Taiwan Semiconductor Operations About the Role We are seeking dedicated Manufacturing Equipment Technicians to join our semiconductor manufacturing operations in Taiwan. This on-site position operates according to structured tempo and shift schedules, perfectly suited for individuals who excel at executing within stable processes and well-defined operational frameworks while steadily building professional value in the high-tech manufacturing sector. Key Responsibilities Equipment Operations & Maintenance: Follow standard operating procedures to modify manufacturing equipment and machinery on a repeated, systematic basis Component Management: Execute standard protocols for replacing machine parts and components according to established maintenance schedules Preventive Maintenance: Perform comprehensive maintenance tasks including daily, weekly, monthly, and quarterly maintenance routines to ensure optimal equipment performance Troubleshooting & Problem Resolution: Handle equipment alarms, respond to abnormal machine behaviors, and implement corrective actions according to established protocols Process Documentation: Maintain accurate records of equipment performance, maintenance activities, and operational parameters Quality Assurance: Monitor equipment output to ensure manufacturing standards and quality specifications are consistently met Safety Compliance: Adhere to all safety protocols and procedures while working with sophisticated manufacturing equipment Continuous Improvement: Participate in process optimization initiatives and contribute to operational efficiency improvements Requirements Education & Experience Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) field No prior work experience required - comprehensive long-term training provided to develop engineering and technical expertise Fresh graduates and entry-level candidates are encouraged to apply Language Skills English proficiency required (minimum TOEIC score of 400 or above) Basic Mandarin language ability preferred Relevant language certification documents must be provided before interview Work Schedule Flexibility Must be available for rotating day and night shifts (Day: 07:00-19:00, Night: 19:00-07:00) Shift rotation occurs every 3 to 6 months Ability to work overtime is preferred (typical schedule: three days on duty, one day off) Commitment to maintaining consistent attendance and reliability Personal Attributes Strong attention to detail and ability to follow precise procedures Excellent problem-solving skills and technical aptitude Ability to work effectively in a fast-paced manufacturing environment Team-oriented mindset with strong communication skills Benefits & Support Comprehensive Training Program: Extensive long-term training provided to develop specialized engineering and technical expertise in semiconductor manufacturing Career Development: Opportunities for professional growth within a stable, well-established manufacturing environment International Support: Special assistance available for overseas Chinese students who are graduates in Taiwan, including work permit application support and accommodation arrangement assistance Competitive Compensation: Attractive salary package commensurate with qualifications and experience Location Taiwan - Taichung/Changhua region (in-person work location required) This position offers an excellent opportunity to begin or advance your career in the semiconductor manufacturing industry while developing valuable technical skills in a structured, supportive environment.
Aalto University
About the Role Join Aalto University's Department of Electrical Engineering and Automation as a Postdoctoral Researcher in Socially Aware Autonomy, focusing on pedestrian intention prediction, communication, and real-time risk estimation. This position offers an exceptional opportunity to advance cutting-edge research in predictive, human-aware autonomy for industrial vehicles and robots operating in human-populated environments. Working within the Mobile Robotics Group under the supervision of Assistant Professor Tomasz Kucner and Professor Simo Särkkä, you will lead groundbreaking research that bridges the gap between autonomous systems and human safety. Your work will directly contribute to safer, more efficient interactions between autonomous machines and pedestrians in urban and industrial settings. Key Responsibilities Lead research initiatives in socially aware autonomous systems, developing novel approaches to human-machine interaction in dynamic environments Develop and implement advanced pedestrian intention prediction algorithms and trajectory forecasting models that enable proactive safety measures Design human-machine communication protocols that enhance action legibility and improve trust between autonomous systems and human operators Create real-time risk estimation frameworks that enable autonomous vehicles and robots to assess and mitigate potential hazards dynamically Integrate perception and prediction capabilities with robust sensor fusion and distributed computation systems, collaborating closely with the Sensor Informatics and Medical Technology Group Publish high-quality research in top-tier conferences and journals, contributing to the global knowledge base in autonomous systems Develop and maintain codebases that support research reproducibility and enable technology transfer to industrial applications Create compelling demonstrations that showcase research outcomes and validate approaches in realistic scenarios Collaborate with industry partners to translate research findings into practically deployable solutions for logistics, ports, mining, and tunneling applications Contribute to project milestone achievements and participate in dissemination activities including stakeholder events and technology showcases Mentor junior researchers and students, fostering the next generation of experts in socially aware autonomy Participate in international collaborations and research exchanges to advance the field globally Requirements PhD degree in robotics, computer science, electrical engineering, or closely related field Demonstrated expertise in socially aware autonomy, human intention prediction, and real-time risk assessment for human-robot or vehicle-pedestrian interaction scenarios Strong technical background in machine learning and probabilistic modeling specifically applied to motion prediction and behavioral analysis Proven experience with temporal deep learning models and multimodal perception systems for understanding human behavior Publication record demonstrating contributions to autonomous systems, human-robot interaction, or related fields Programming proficiency in relevant languages such as Python, C++, or similar, with experience in machine learning frameworks Experience with real-time systems and understanding of computational constraints in autonomous applications Knowledge of sensor technologies and data fusion techniques commonly used in autonomous vehicles and robotic systems Strong analytical and problem-solving skills with ability to work independently on complex technical challenges Excellent communication skills and demonstrated ability to collaborate effectively with multidisciplinary teams Experience coordinating with academic and industry partners on research projects Preferred Qualifications Experience deploying machine learning models on edge devices or embedded systems Background in safety-critical system design and validation Familiarity with industrial automation environments Previous work in autonomous vehicle development or mobile robotics What We Offer Engagement with leading experts in robust estimation and predictive autonomy within a world-renowned research environment International collaboration opportunities with options for targeted research exchanges and conference participation Direct industrial impact through close collaboration with industry stakeholders in safety-critical domains Access to state-of-the-art facilities and computational resources at Aalto University Professional development support including training opportunities and career advancement pathways Comprehensive benefits package including occupational health care and access to Finland's extensive social security system Competitive compensation commensurate with experience and qualifications Work-life balance in Finland's consistently top-ranked quality of life environment Diverse and inclusive workplace that actively promotes equality and international collaboration This 2.5-year position offers the potential for extension based on performance and funding availability. The starting date is flexible around June 2026, with discussions welcome to accommodate mutual scheduling needs. About Aalto University Aalto University represents the convergence
Aalto University
About the Role Aalto University's School of Chemical Engineering is seeking a highly motivated Postdoctoral Researcher to join the Bioprocess Engineering group and lead groundbreaking research in cell-free biomanufacturing of anaerobic enzymes. This position offers an exceptional opportunity to contribute to cutting-edge biotechnology research while developing innovative solutions for sustainable biomanufacturing. As part of our dynamic academic community, you will work at the intersection of synthetic biology, bioengineering, and enzyme technology, contributing to research that addresses major global challenges in sustainable biotechnology. The position is based at our state-of-the-art Otaniemi Campus in Espoo, Finland, within a world-renowned research environment. Key Responsibilities Research Leadership and Innovation: Lead an independent research project focused on developing advanced cell-free protein synthesis platforms specifically designed for anaerobic enzymes Design and execute comprehensive research strategies to overcome challenges associated with oxygen-sensitive enzyme systems Pioneer novel methodologies for expressing and characterizing oxygen-labile multi-subunit enzyme complexes Drive innovation in bioprocess engineering through interdisciplinary research approaches Bioinformatics and Computational Research: Integrate sophisticated bioinformatic workflows to identify and characterize relevant anaerobic enzyme systems Develop computational tools and databases for enzyme discovery and optimization Analyze large-scale genomic and proteomic datasets to identify promising enzyme candidates Create predictive models for enzyme stability and functionality under anaerobic conditions Experimental Design and Execution: Perform quantitative evaluation of enzyme function using advanced analytical techniques Develop and optimize high-throughput screening platforms for enzyme characterization Design experiments to assess enzyme kinetics, stability, and performance under various conditions Implement quality control measures and standardized protocols for reproducible research Academic and Educational Contributions: Contribute to teaching activities within the Bioprocess Engineering group Mentor undergraduate and graduate students in research methodologies and experimental techniques Participate in curriculum development and course planning initiatives Present research findings at international conferences and scientific meetings Collaboration and Knowledge Transfer: Collaborate with interdisciplinary teams across multiple research centers and institutions Engage with industry partners to translate research findings into practical applications Contribute to grant proposal writing and funding acquisition efforts Participate in peer review activities for scientific journals and funding agencies Requirements Essential Qualifications: Recently obtained PhD (within five years) in bioengineering, synthetic biology, biochemistry, chemical engineering, or closely related discipline Strong publication record demonstrating high-quality research output and scientific impact Demonstrated ability to work independently on competitive research projects Proven track record of successful project management and research execution Critical Technical Expertise: Hands-on experience in high-throughput enzyme prototyping platforms with clear relevance to cell-free systems Demonstrated expertise with oxygen-sensitive or anaerobic enzyme systems Experience in engineering and activity characterization of oxygen-sensitive enzymes Proficiency in molecular biology techniques, protein expression, and purification methods Knowledge of bioinformatics tools and computational biology approaches Professional Skills: Excellent written and verbal communication skills in English Strong analytical and problem-solving capabilities Collaborative mindset with ability to work effectively in interdisciplinary teams Proactive approach to research challenges and innovation Demonstrated or emerging ability to secure research funding Experience with scientific writing and manuscript preparation Preferred Additional Qualifications: Experience with cell-free protein synthesis systems Knowledge of anaerobic microbiology and enzyme biochemistry Familiarity with bioprocess optimization and scale-up methodologies Background in metabolic engineering or synthetic biology applications Experience with advanced analytical techniques for enzyme characterization What We Offer Professional Development: Two-year fixed-term contract with potential for extension based on performance and funding Opportunity to lead independent research in a cutting-edge field Access to state-of-the-art research facilities and equipment Collaboration opportunities with leading international research institutions Support for conference attendance and professional networking Mentorship opportunities and career development guidance Compensation and Benefits: Competitive salary package commensurate with experience and qualifications Comprehensive occupational health care coverage Access to Finland's extensive social security system Commuter ticket benefits for convenient transportation Versatile exercise services and wellness programs through UniSport with staff disc
Aalto University
About the Role Aalto University's Department of Information and Communications Engineering seeks an outstanding Postdoctoral Researcher in Statistical Signal Processing to join the Structured and Stochastic Modeling Group, led by Prof. Filip Elvander. This position offers an exceptional opportunity to conduct cutting-edge research at the intersection of statistical signal processing, applied mathematics, and emerging 6G wireless technologies. The research focuses on modeling complex modern radio environments where diverse devices and agents share available spectrum. This work is crucial for understanding spatio-temporal radio characteristics and lies at the heart of integrated sensing and communications (ISAC), expected to be a core component of next-generation wireless systems. Key Research Focus The project centers on optimal transport for inverse problems applied to radio spectrum analysis. Optimal transport theory, which addresses mathematical problems of comparing and interpolating distributions of mass, has gained significant attention in applied mathematics and machine learning due to its flexibility, mathematical elegance, and state-of-the-art results across numerous applications. As part of a larger consortium with industrial partners, you'll collaborate with world-class researchers spanning estimation and optimization theory to hardware design, contributing to both foundational theoretical advances and industry-relevant applications. Primary Responsibilities Develop mathematical models for describing complex radio environments and multi-agent spectrum sharing scenarios Design and implement algorithms for estimating location and spectral characteristics of signal sources using antenna array measurements Apply optimal mass transport theory and convex modeling techniques to solve inverse problems in signal processing Conduct research in cognitive and adaptive spectrum use, contributing to the development of future wireless systems Investigate passive-sensing applications for target and signal source localization Collaborate with interdisciplinary team members across applied mathematics, signal processing, and communications engineering Publish high-quality research findings in peer-reviewed journals and present at international conferences Contribute to grant applications and research proposals for continued funding Provide guidance and mentorship to doctoral researchers within the group Participate in academic conferences, workshops, and collaborative meetings with consortium partners Engage in knowledge transfer activities with industrial partners Required Qualifications PhD degree in Applied Mathematics, Engineering Physics, Electrical Engineering, or closely related field Strong publication record demonstrating research excellence and impact Excellent English proficiency in both written and spoken communication Advanced programming skills in Matlab and Python, with experience in implementing complex algorithms Deep understanding of statistical signal processing, estimation theory, and optimization methods Knowledge of applied mathematics including convex optimization, probability theory, and statistical modeling Experience with inverse problems and computational mathematics approaches Familiarity with array signal processing and antenna array technologies Preferred Qualifications Background in optimal transport theory or related mathematical frameworks Experience with machine learning applications in signal processing Knowledge of information theory and wireless communications systems Previous exposure to multi-disciplinary research environments Experience mentoring graduate students or early-career researchers Track record of collaboration with industry partners Personal Attributes Curious mindset with passion for fundamental research and theoretical exploration Strong appetite for working with advanced mathematical theory and methods Interest in multi-disciplinary research spanning mathematics, engineering, and communications Collaborative spirit and ability to work effectively in international, diverse teams Leadership potential for guiding and inspiring doctoral researchers Adaptability to work in dynamic research environments with evolving objectives What We Offer The Department of Information and Communications Engineering provides a world-class research environment with strong international collaborations and cutting-edge facilities. You'll join a diverse, multicultural workplace that actively promotes inclusivity and welcomes qualified candidates from all backgrounds. Research Environment Benefits: Access to expertise from world-leading researchers across the consortium Collaborative community of doctoral and postdoctoral researchers State-of-the-art research facilities and computational resources Opportunities for international conference presentations and networking Strong industry connections through consortium partnerships Professional Development: Excellent learning and development opportunities Mentorship and career guidance from established faculty Exposure to both theoretical foundations and practical applications Opportunities to develop grant writing and project management skills University Benefits: Competitive compensation according to Finnish university salary system Comprehensive occupational health care services Commuter ticket benefits and transportation support Access to Unisport recreational and fitness facilities Supportive work-life balance policies Position Details This is a **two-
NZ Ministry for Primary Industries
About the Role Our Quarantine Officers are highly trained professionals performing an extraordinary service for New Zealand's biosecurity protection. This permanent, full-time position in Tauranga offers the opportunity to work at the frontline of New Zealand's biosecurity system, ensuring that cargo and passengers entering the country are free from biosecurity risks. Working primarily Monday to Friday with some rostered weekend and after-hours work, you'll be based at Mount Maunganui with work areas extending from Waihi through to Whakatane and Rotorua. Actual working hours are roster-specific and may include hours outside 6am to 6pm, Monday to Sunday. Key Responsibilities Inspect vessels and assess biosecurity practices to ensure compliance with New Zealand regulations Examine commercial goods and cargo for potential biosecurity threats Conduct thorough assessments of passengers, crew, and imported materials Monitor transitional facilities and ensure adherence to biosecurity protocols Document findings and maintain detailed records of all inspections Collaborate with stakeholders including importers, shipping agents, and industry representatives Enforce biosecurity regulations and take appropriate action when violations are identified Respond to emergency biosecurity situations and provide expert guidance Participate in ongoing training and professional development activities Contribute to team objectives and support continuous improvement initiatives What We Offer This role provides exceptional variety - you could be inspecting vessel biosecurity practices in the morning and examining commercial goods in the afternoon. You'll receive comprehensive training through a program that combines classroom theory with hands-on practical experience. We offer clear career progression opportunities from Officer to Senior to Chief Quarantine Officer for those committed to professional development. You'll join a high-performing, passionate team dedicated to protecting New Zealand while living our organizational values. The position includes competitive compensation with benefits and allowances that increase with progression, plus the opportunity to work with a diverse and supportive team of officers across New Zealand. Essential Requirements New Zealand citizenship or permanent residency (mandatory for security clearance) Full New Zealand driver's license Physical fitness and ability to stand for extended periods Comfort working both indoors and outdoors in various weather conditions Strong communication skills, both oral and written Excellent relationship-building abilities with diverse stakeholders High level of computer literacy and technical proficiency Self-motivated approach with ability to work independently Preferred Qualifications Interest or qualification in agriculture, horticulture, forestry, botany, or environmental science Work experience in life sciences or related industry Demonstrated problem-solving and analytical skills Attention to detail and ability to work under pressure Training and Development Successful candidates must attend mandatory core competency training outside of Tauranga at the start of employment. This comprehensive 10-week program occurs across several locations, with accommodation provided during the training period. Benefits Package Annual wellness payment Bi-annual paid eye tests and contribution toward corrective lenses/frames Reduced premiums for group healthcare schemes Comprehensive professional development opportunities Supportive team environment with diverse perspectives Security Requirements This position requires Confidential Security Clearance. Candidates must be eligible for national security vetting, and given the safety-sensitive nature of the role, successful applicants will undergo pre-employment drug and alcohol screening. About Our Team The Border Clearance Services Team within Biosecurity New Zealand protects New Zealand's natural environment, primary industries, and people against exotic pests and diseases. We're accountable for delivering sustainable and effective frontline biosecurity clearance services at the border for imported goods, vessels, passengers, crew, and transitional facilities. Our Commitment We're committed to being a good partner under Te Tiriti o Waitangi, working closely with iwi, hapu, whanau, and hapori. We welcome applications from individuals of all backgrounds and identities, aspiring to reflect the diverse communities we serve.
Trinity College Dublin
About the Role Join Trinity College Dublin's prestigious Institute of Neuroscience as a Research Assistant working on groundbreaking studies examining cognitive disorders. This position offers the unique opportunity to contribute to cutting-edge research led by Professor Lorina Naci, focusing on Alzheimer's disease, other dementias, mild cognitive impairment, and brain injury research. You will divide your time between Trinity College Institute of Neuroscience and the Memory Clinic at St James's Hospital, working within a dynamic multidisciplinary research environment. Key Research Projects You will contribute to innovative studies including the RESOLVE study and PREVENT Dementia project, which aim to identify biological and psychological risk factors for late-life dementia. These research initiatives focus on increasing resilience and brain health from mid-life by implementing interventions before symptom presentation, representing the forefront of preventative dementia research. Responsibilities Coordinate participant recruitment strategies and maintain comprehensive recruitment databases Schedule research appointments and manage complex study timelines across multiple research sites Conduct participant follow-up communications and maintain regular contact throughout study duration Perform accurate and timely data entry using specialized research databases and software systems Assist with neuropsychological assessments and cognitive testing protocols Support imaging studies and biomarker collection procedures Maintain detailed research documentation and ensure compliance with ethical guidelines Collaborate with multidisciplinary team members including neurologists, psychologists, and imaging specialists Assist with participant screening procedures and eligibility assessments Coordinate with clinical staff at St James's Hospital Memory Clinic Prepare research materials and maintain laboratory inventory Support data quality assurance and verification processes Assist with research presentations and manuscript preparation activities Requirements Bachelor's degree in Psychology, Neuroscience, Biomedical Sciences, or related field Strong interest in cognitive disorders, dementia research, or neuropsychology Excellent organizational and time management skills with attention to detail Proficiency in data management and statistical software packages Strong interpersonal and communication skills for working with diverse participant populations Ability to work sensitively with patients, carers, and elderly participants Experience with research methodologies and ethical considerations in human subjects research Flexibility to work across multiple research sites in Dublin Commitment to maintaining confidentiality and adhering to research protocols Strong computer skills including Microsoft Office Suite and database management Ability to work independently and as part of a collaborative research team Professional Development Opportunities This role provides exceptional exposure to world-class neuroscience research methodologies including advanced neuroimaging techniques, biomarker analysis, and comprehensive neuropsychological assessment batteries. You will gain valuable experience in clinical research environments while contributing to studies with significant potential for improving dementia prevention and treatment strategies. About Trinity College Dublin Trinity College Dublin is Ireland's leading university, ranked 75th globally in the QS World University Rankings 2026. Founded in 1592, the University combines over 400 years of academic excellence with cutting-edge research and innovation. As part of Trinity's strategic commitment to advancing neuroscience research, this position offers the opportunity to work within one of Europe's most respected academic institutions. Diversity and Inclusion Trinity College Dublin is committed to equality, diversity, and inclusion, welcoming applications from all qualified candidates including those with disabilities, international applicants, and individuals who have followed non-traditional career paths. As an EU Sustainable Gender Equality Champion holding an Athena Swan Silver Award, Trinity actively supports work-life balance and maintains a family-friendly working environment that values belonging, collaboration, and innovation.
Micron
About Micron Technology Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all. As an industry leader in innovative memory and storage solutions, we deliver a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, our innovations fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities from the data center to the intelligent edge and across the client and mobile user experience. About the Role Join our dynamic team at Micron and help build the future of leadership development in a world-class organization. As a Talent & Leadership Development Specialist, you will play a crucial role in fostering an environment that encourages growth and innovation. This position is based in Taiwan and offers an outstanding opportunity to work on ambitious projects that impact the entire company. You will be instrumental in designing and implementing comprehensive leadership development programs that cultivate both technical excellence and people leadership capabilities across our global organization. Key Responsibilities Plan and execute the company-wide Leadership Development program and initiative roadmap, including Technical Leadership (Technical / TLP Leadership) and People Leadership and management capability development Partner with business leaders, technical leaders, HR, and relevant stakeholders to assess leadership development needs and drive organizational alignment Build flexible and transferable leadership development pathways that support employee growth based on organizational needs and individual strengths, rather than rigid or single-track classifications Design and coordinate internal and external leadership courses, workshops, and learning resources, ensuring strong connections to real work practices and future organizational demands Support the development planning and learning arrangements for high potential (Hi Po) talents, TLP candidates, and emerging people leaders Establish comprehensive tracking, feedback, and continuous improvement mechanisms for leadership development initiatives to ensure learning outcomes translate into observable behaviors and measurable organizational impact Manage leadership development projects end-to-end, including timeline management, resource allocation, budget oversight, and cross-functional communication Conduct needs assessments and gap analyses to identify leadership competency requirements across different business units and career levels Collaborate with external vendors and training providers to source and customize leadership development solutions Create and maintain leadership development content, including curriculum design, learning materials, and assessment tools Facilitate leadership workshops, coaching sessions, and development planning meetings as needed Monitor industry best practices and emerging trends in leadership development to ensure program relevance and effectiveness Minimum Qualifications Proven experience in talent development, leadership development, learning & development (L&D), or related project management work Deep understanding of the specific development demands of both technical leadership and people leadership roles Strong project planning and management skills with demonstrated cross-functional collaboration and stakeholder communication capabilities Ability to translate abstract leadership competencies into structured learning frameworks and practical program implementations Strategic mindset with flexibility to balance organizational priorities and individual development needs Excellent communication skills in both Cantonese and English, with ability to present to senior leadership and facilitate group discussions Bachelor's degree in Human Resources, Organizational Psychology, Business Administration, or related field Proficiency in learning management systems and project management tools Preferred Qualifications Prior experience participating in or leading leadership or management development programs in a corporate environment Understanding of talent development within technical organizations, particularly in Engineering, Manufacturing, or Technology functions Ability to think strategically about long-term talent pipelines and leadership succession planning Experience with competency modeling, 360-degree feedback systems, and leadership assessment tools Knowledge of adult learning principles and instructional design methodologies Experience working in multinational organizations with diverse cultural contexts Professional certification in coaching, facilitation, or organizational development What We Offer Join an exceptionally experienced team dedicated to implementing world-class leadership programs that drive organizational success. At Micron, you'll have the opportunity to make a meaningful impact on the development of future leaders while working with cutting-edge technology and innovative solutions. We foster a culture of continuous learning, collaboration, and excellence, providing opportunities for professional growth and career advancement in a dynamic, fast-paced environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Micron prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Universität Wien
About the Role The University of Vienna's Faculty of Psychology is seeking a dedicated University Assistant Predoctoral to join our dynamic Cognitive Psychology research group within the Department of Cognition, Emotion, and Methods in Psychology. This is an exceptional opportunity to pursue doctoral research in an internationally recognized academic environment while contributing to cutting-edge investigations in human perception, attention, and related cognitive processes. As part of our vibrant academic community of nearly 11,000 individuals, you'll join a faculty that serves approximately 3,500 psychology students across Bachelor's, Master's, and PhD programs. Our department is committed to providing comprehensive support and supervision to ensure your successful completion of a PhD thesis through innovative research methodologies. Key Responsibilities Research & Doctoral Studies: Conduct independent research in visual attention, perception, eye-tracking, and related cognitive domains to advance your doctoral dissertation Design, program, and execute behavioral experiments with human participants using state-of-the-art laboratory equipment and online platforms Collect and analyze complex datasets, including electroencephalographic (EEG) and eye-tracking data Develop experimental paradigms as web applications for remote data collection Prepare and submit research findings to ISI-listed, peer-reviewed journals for publication Complete a cumulative dissertation based on at least three manuscripts, with one accepted for publication prior to thesis submission Finalize dissertation agreement within 12-18 months of appointment Enroll in the Vienna Doctoral School in Cognition, Behavior and Neuroscience (VDS CoBeNe) Teaching & Academic Service: Independently conduct undergraduate and graduate courses within collective bargaining agreement provisions Supervise student research projects and provide academic mentorship Contribute to curriculum development and pedagogical innovation Utilize e-learning platforms and modern teaching methodologies Administrative Duties: Support departmental research initiatives and collaborative projects Participate in faculty meetings, committees, and academic governance Assist with grant applications and research project management Contribute to laboratory maintenance and equipment calibration Requirements Essential Qualifications: Completed Master's degree or Diploma in Psychology, Biology, Computer Science, or Linguistics Demonstrated computational expertise in multiple programming languages and analytical tools Strong proficiency in Python (numpy, pandas, scikit-learn, PyTorch), R (Tidyverse), or Julia Experience with statistical analysis software and research methodologies Academic writing experience and familiarity with scientific publication processes Fluency in both English and German (C1 level English required) Excellent interpersonal and communication skills Technical Skills: Proficiency in JavaScript/HTML/CSS, Docker, GNU/Linux, SQL, JASP, and LaTeX Experience with neuroimaging analysis tools (Nipype/Nilearn, FSL, SPM, Freesurfer) Knowledge of Microsoft Office suite and academic software platforms Ability to develop and deploy web-based experimental applications Desirable Qualifications: Previous experience with EEG recording and analysis Eye-tracking methodology expertise Background in perception, memory, or language research Didactic experience and e-learning competencies Demonstrated problem-solving abilities and autonomous working style Interest in emerging interdisciplinary research fields What We Offer Professional Development: Comprehensive supervision and mentorship for doctoral studies Access to over 600 internal training courses and coaching programs Opportunity to work with cutting-edge research equipment and methodologies International collaborative research opportunities Career guidance and academic networking support Work Environment: Flexible, family-friendly working arrangements including remote/hybrid options Part-time work opportunities upon agreement Inspiring international academic atmosphere Healthy and fair working environment promoting work-life balance Modern facilities in central Vienna with excellent public transportation access Employment Terms: 30-hour weekly position with competitive compensation 3-year initial contract (Predoc Contract Model 1: initially 1.5 years, automatically extended to 3 years if not terminated within first 12 months) Possibility of extension to maximum 4 years based on satisfactory progress Comprehensive benefits package and professional development support Equal Opportunity Commitment: The University of Vienna champions diversity, equal opportunities, and the advancement of women in academia. We particularly encourage applications from qualified women candidates and are committed to anti-discriminatory employment practices.
Micron
About the Role Join Micron Technology as a Process Engineer and play a crucial role in advancing memory and storage solutions that transform how the world uses information. As an industry leader in innovative DRAM, NAND, and NOR memory technologies, Micron is at the forefront of enabling artificial intelligence, 5G applications, and data economy innovations that span from data centers to intelligent edge computing. In this position, you will be instrumental in establishing, optimizing, and maintaining critical semiconductor manufacturing processes that directly impact our ability to deliver high-performance memory solutions through our Micron® and Crucial® brands. You will work with cutting-edge technology and collaborate with cross-functional teams to drive continuous improvement in manufacturing excellence. Key Responsibilities Process Development & Optimization: Establish and continuously improve process conditions and technology parameters to enhance manufacturing efficiency and product quality Cost Reduction Initiatives: Upgrade process capabilities and implement strategies to reduce production costs while maintaining stringent quality standards Project Management: Establish, modify, and lead process management projects from conception through implementation and validation Equipment Configuration: Set up and optimize process parameters for a diverse range of sophisticated semiconductor manufacturing equipment Technology Evaluation: Lead evaluation, promotion, and strategic planning initiatives for new equipment and materials to advance manufacturing capabilities Problem Resolution: Conduct thorough abnormal analysis and implement effective improvement solutions to minimize production disruptions Documentation & Compliance: Maintain comprehensive process documentation and ensure adherence to industry standards and safety protocols Cross-functional Collaboration: Work closely with engineering teams, quality assurance, and production personnel to ensure seamless process integration Performance Monitoring: Continuously monitor process performance metrics and implement data-driven improvements Training & Knowledge Transfer: Provide technical guidance and training to team members on process procedures and best practices Requirements Education: Bachelor's degree in Chemical Engineering, Materials Science, Electrical Engineering, or related technical field Technical Skills: Strong understanding of semiconductor manufacturing processes and equipment operations Analytical Abilities: Proven experience in process analysis, troubleshooting, and statistical process control methods Project Management: Demonstrated ability to manage multiple projects simultaneously while meeting deadlines and quality objectives Problem-Solving: Excellent analytical and critical thinking skills with a track record of implementing effective solutions Communication: Strong verbal and written communication skills with ability to present technical information clearly Software Proficiency: Experience with process control software, statistical analysis tools, and manufacturing execution systems Quality Focus: Deep commitment to quality excellence and continuous improvement methodologies Teamwork: Collaborative mindset with ability to work effectively in cross-functional teams Adaptability: Flexibility to adapt to rapidly changing technology landscape and manufacturing requirements What We Offer Competitive Compensation: Attractive salary package commensurate with experience and qualifications Innovation Environment: Opportunity to work with cutting-edge memory and storage technologies that shape the future of computing Career Growth: Professional development opportunities in a rapidly expanding technology sector Global Impact: Contribute to innovations that enable advances in artificial intelligence, 5G, and data economy applications Inclusive Culture: Join a diverse, inclusive workplace committed to equal opportunity employment Micron Technology is committed to creating an inclusive environment where all qualified applicants receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
Micron
About the Role Join Micron Technology as a Tool Engineer and play a critical role in advancing semiconductor manufacturing excellence. Our vision is to transform how the world uses information to enrich life for all. As a world leader in innovating memory and storage solutions, Micron accelerates the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. In this position, you will be responsible for optimizing semiconductor manufacturing equipment performance, implementing cutting-edge tool technologies, and ensuring operational excellence across our production facilities. You'll work with state-of-the-art equipment while contributing to the development of innovative memory and storage solutions that power the global data economy. Key Responsibilities Equipment Optimization: Establish and continuously improve tool condition monitoring systems and implement advanced manufacturing technologies to enhance production efficiency Performance Enhancement: Upgrade tool capabilities and systematically reduce equipment alarm ratios through proactive maintenance strategies and predictive analytics Project Management: Establish, modify, and oversee comprehensive tool management projects from conception through implementation Parameter Configuration: Set up and optimize tool parameters for a diverse range of semiconductor manufacturing equipment, ensuring optimal performance across various process nodes Technology Evaluation: Lead evaluation, promotion, and strategic planning initiatives for new equipment and advanced materials integration Problem Resolution: Conduct thorough abnormal condition analysis and implement sustainable improvement solutions to minimize downtime and maximize yield Process Documentation: Develop and maintain detailed standard operating procedures, troubleshooting guides, and equipment specifications Cross-functional Collaboration: Partner with process engineers, production teams, and equipment vendors to drive continuous improvement initiatives Data Analysis: Utilize statistical analysis tools and methodologies to monitor equipment performance trends and identify optimization opportunities Training and Mentorship: Provide technical guidance and knowledge transfer to junior engineers and production staff Requirements Bachelor's degree in Electrical Engineering, Mechanical Engineering, Materials Science, or related technical field Strong understanding of semiconductor manufacturing processes and equipment operations Experience with semiconductor fabrication tools such as lithography, etching, deposition, or metrology equipment Proficiency in statistical analysis software and data visualization tools Knowledge of process control methodologies and Six Sigma principles Excellent problem-solving skills and analytical thinking capabilities Strong communication skills with ability to present technical findings to diverse audiences Experience with equipment automation and control systems Understanding of cleanroom protocols and semiconductor safety standards Ability to work effectively in fast-paced, high-volume manufacturing environments About Micron Technology We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. Equal Opportunity Employment All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Micron prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment.
Micron
About the Role Join Micron Technology as a Process Engineer and play a pivotal role in advancing memory and storage solutions that transform how the world uses information. As part of our innovative engineering team, you'll be responsible for establishing, optimizing, and improving semiconductor manufacturing processes that drive the data economy and enable breakthrough technologies in artificial intelligence, 5G applications, and next-generation computing. About Micron Technology Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. Key Responsibilities Process Development & Optimization: Establish and improve process conditions and technology to enhance manufacturing efficiency and product quality Cost Reduction Initiatives: Upgrade process capability and implement strategies to reduce production costs while maintaining quality standards Project Management: Establish and modify process management projects, ensuring timely delivery and alignment with business objectives Equipment Configuration: Set up and optimize process parameters for a variety of semiconductor equipment to maximize performance and yield Technology Evaluation: Lead evaluation, promotion, and planning initiatives for new equipment and materials to advance manufacturing capabilities Problem Solving: Conduct thorough abnormal analysis and implement improvement solutions to minimize defects and enhance process stability Documentation & Reporting: Maintain comprehensive process documentation and provide regular reports on process performance metrics Cross-functional Collaboration: Work closely with manufacturing, quality, and design teams to ensure seamless process integration Continuous Improvement: Drive lean manufacturing principles and implement best practices to optimize overall operational excellence Requirements Bachelor's degree in Chemical Engineering, Materials Science, Electrical Engineering, or related technical field Strong understanding of semiconductor manufacturing processes and equipment Experience with process optimization, statistical analysis, and problem-solving methodologies Proficiency in data analysis tools and statistical software Knowledge of cleanroom protocols and semiconductor safety standards Excellent analytical and critical thinking skills Strong project management capabilities and attention to detail Ability to work effectively in a fast-paced, team-oriented environment Excellent communication skills for cross-functional collaboration What We Offer Opportunity to work with cutting-edge semiconductor technology and innovative memory solutions Career growth and development opportunities within a global technology leader Collaborative work environment focused on technological excellence and innovation Chance to contribute to technologies that power artificial intelligence, 5G, and next-generation computing applications Micron Technology is committed to providing equal employment opportunities and maintaining an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We comply with all applicable laws, rules, regulations, and international industry labor standards.
Handelshøyskolen BI
About the Role BI Norwegian Business School invites applications for a Researcher position in the Operations Management Group at the Department of Accounting and Operations Management in Oslo. This is a full-time, one-year appointment with an immediate start date, offering an exceptional opportunity to contribute to groundbreaking research in sustainable logistics and carbon capture technology. The successful candidate will join the LogiCCS project, an ambitious interdisciplinary research initiative spanning 15 partners across Sweden, Norway, Denmark, and Latvia. This project focuses on developing knowledge to enhance efficient Carbon Capture, transportation and Storage (CCS) supply chains and operations throughout the region, with particular emphasis on sustainable and energy-efficient cross-border maritime infrastructure and logistics solutions. Key Responsibilities Project Management & Coordination Coordinate deliverables for assigned tasks and ensure timely completion of project milestones Organize meetings, facilitate collaboration among international partners, and maintain comprehensive project reporting Develop and execute activity plans to meet agreed project deliverables on schedule Manage stakeholder relationships across multiple countries and disciplines Research & Analysis Conduct quantitative research focused on model building and logistics network scenario identification Develop decision support models for optimal maritime infrastructure supporting CCS operations Analyze future logistics capacity requirements, including fleet size and mix optimization for CO2 transport Utilize optimization and simulation methods to create practical decision-making toolboxes Support methodology development and implementation across research teams Data Collection & Case Study Development Design and execute comprehensive data collection strategies Conduct interviews, observations, and workshops with industry stakeholders Establish realistic scenarios and model structures based on empirical evidence Collaborate with industrial partners to ensure research relevance and practical applicability Knowledge Dissemination Lead and contribute to academic research publications and peer-reviewed articles Prepare detailed project reports for various stakeholder audiences Develop teaching cases and other educational materials Present research findings to both academic and industry audiences Participate in conferences and knowledge-sharing events within the CCS community Collaborative Research Work closely with researchers from marine technology, ship design, geology, environmental science, and law Contribute to an integrated approach addressing multiple aspects of CCS value chains Support interdisciplinary team members on methodology and implementation challenges Foster international collaboration within the Nordic and Baltic Sea Region research network Requirements Educational Background PhD degree preferred in Industrial Engineering, Logistics, Operations Research/Management, Decision/Management Science, Data Science, Economics, Supply Chain Management, or equivalent relevant experience Strong academic foundation in quantitative methods and research methodologies Demonstrated understanding of supply chain and logistics principles Technical Skills Extensive experience with optimization and/or simulation tools Proficiency in decision support software development Strong quantitative analysis capabilities Experience with data collection and statistical analysis methods Familiarity with logistics network modeling and optimization techniques Language & Communication Excellent English skills, both written and oral communication Ability to present complex research findings to diverse audiences Strong academic writing and publication experience Personal Attributes Proven ability to collaborate effectively with researchers from different fields and career stages Demonstrated capacity to work independently on predefined tasks while contributing to team objectives Strong organizational skills and genuine interest in data-driven research approaches Positive attitude with ability to manage demanding workloads and tight deadlines Willingness to share knowledge and contribute to a collaborative research environment Adaptability to work in an international, multicultural research setting What We Offer Professional Development Opportunity to work at one of Scandinavia's leading business schools Access to cutting-edge research support and resources Connections to the broader CCS knowledge community and industry networks Supportive professional environment fostering academic growth Flexibility and extensive opportunities for international collaboration Benefits Package Membership in BI's comprehensive collective pension scheme Norwegian language courses for all international employees Competitive compensation package Professional development opportunities and conference attendance support Access to world-class research facilities and resources Application Requirements Candidates must submit applications electronically including: Cover letter with a short project proposal (maximum 1 page) reflecting research interests Comprehensive CV and publication list (up to 10 academic publications, including PhD thesis) Certificate from highest degree obtained Names and contact details of three professional references Additional documentation supporting qualifications and relevant experience BI Norwegian Business School
ASML
About the Role Step into a hands-on role where your technical expertise directly supports ASML's cutting-edge EUV lithography systems at customer sites worldwide. As a Field Service Engineer, you'll ensure our advanced semiconductor manufacturing equipment performs at peak efficiency in high-tech production environments. You'll play a vital role in maintaining the sophisticated systems that enable breakthroughs in AI, 5G, autonomous vehicles, and the technology that powers everyday life. Working at the forefront of semiconductor technology, you'll be part of a dynamic team that keeps customers' critical production lines running when it matters most. This role offers the perfect blend of technical challenge, customer interaction, and direct impact on the global technology ecosystem. With multiple positions available, you'll join ASML's mission to advance Moore's Law and enable the next generation of chip manufacturing. Key Responsibilities Equipment Maintenance & Optimization: Analyze, diagnose, and troubleshoot complex EUV lithography systems at customer facilities, ensuring optimal performance and minimal downtime Installation & Upgrades: Perform comprehensive installation, repair, retrofits, and upgrades of ASML EUV equipment, working closely with customer teams to ensure seamless integration Preventive Maintenance: Execute scheduled maintenance protocols to proactively prevent equipment issues and extend system lifespan Customer Support: Assist customers with equipment receipt, installation procedures, and testing protocols, serving as the primary technical liaison Parts Management: Ensure appropriate spare parts availability and verify specifications meet service requirements for efficient repair operations Daily Operations: Take ownership of equipment performance optimization, monitoring systems proactively to identify potential issues before they impact production Continuous Improvement: Actively participate in ASML Ireland's improvement programs, identifying and implementing enhancement projects that add value to customer operations Documentation & Reporting: Maintain detailed service records, troubleshooting logs, and performance reports to support ongoing system optimization Technical Training: Stay current with evolving EUV technology through ongoing training and knowledge sharing with engineering teams Emergency Response: Provide rapid response support for critical equipment issues, minimizing production impact through efficient problem resolution Requirements Education & Experience Bachelor's or Master's degree in mechanical engineering, aerospace engineering, automotive engineering, electronics, physics, mechatronics, or related technical field Recent graduates (completed education within 2 years) or students graduating before August 2026 Maximum 2 years of relevant working experience Strong academic foundation in engineering principles and problem-solving methodologies Essential Skills Technical Aptitude: Hands-on, proactive approach with strong troubleshooting and analytical problem-solving capabilities Adaptability: Flexibility to thrive in dynamic, fast-paced environments with evolving technical challenges Ownership Mindset: Demonstrated sense of accountability and responsibility for assigned tasks and customer outcomes Interpersonal Skills: Positive, collaborative attitude that fosters effective teamwork and drives solution-oriented approaches Relationship Building: Ability to develop and maintain strong professional relationships with customers and colleagues Communication: Fluency in English with strong verbal and written communication skills Customer Focus: Understanding of customer service principles and commitment to exceeding expectations Additional Requirements Willingness to work rotating 12.33-hour shift schedule (3 days on/4 days off, followed by 4 days on/3 days off, alternating between day and night shifts every 4 weeks) Ability to travel to customer sites and work in semiconductor fabrication environments Legal authorization to access controlled technology as defined by US Export Administration Regulations Benefits & Working Environment Join a creative, dynamic work environment where collaboration drives innovation. You'll work alongside supportive colleagues in a culture that values diverse perspectives and encourages creative problem-solving approaches. ASML provides the flexibility and trust to choose optimal approaches for tackling complex technical challenges. What We Offer Competitive salary and comprehensive benefits package Unlimited contract with intention for permanent employment Meal allowance and car commuting allowance Extensive international training and professional development opportunities Career growth within a global technology leader Opportunity to work with cutting-edge semiconductor technology Collaborative, inclusive work environment that values diversity Equal Opportunity ASML is an Equal Opportunity Employer committed to fostering an inclusive workplace. We recruit, hire, train, and promote individuals regardless of race, color, religion, sex, age, national origin, veteran
LISER
About the Role The Luxembourg Institute of Socio-Economic Research (LISER) is seeking a Research Associate (Post-doctoral, f/m) to join their Urban Development and Mobility department for a groundbreaking 24-month research project. This full-time position offers an exceptional opportunity to contribute to cutting-edge interdisciplinary research examining the intersection of housing and migration patterns over more than a century. You will be instrumental in the FNR-funded P(R)OP2 project – Property Data Meets Population Data in Past and Present: Migration and Property Relations in the Long Run (1910-2024) – a collaborative initiative between the C2DH at the University of Luxembourg and LISER. This innovative project challenges conventional assumptions about migrant integration by examining how housing availability and access shape integration outcomes rather than focusing solely on individual choices or cultural factors. Key Responsibilities Conduct comprehensive analyses of migrant integration and segregation patterns through housing in Dudelange spanning 1910 to 2024 Work with rich historical and contemporary datasets including land registry archives, population censuses, migrant arrival records, and administrative population registers Develop and implement quantitative and qualitative research methodologies with strong spatial analysis components Produce high-quality research outputs aligned with the department's scientific objectives and policy-relevant goals Collaborate with historians and social scientists from diverse disciplinary backgrounds including geography, economics, sociology, and urban planning Contribute to academic publications, policy briefs, and research dissemination activities Present findings at national and international conferences and academic meetings Participate in departmental research activities and contribute to grant proposal development Support the department's mission of understanding urban dynamics and cross-border integration Engage in knowledge transfer activities to maximize societal impact of research findings Requirements Essential Qualifications: Ph.D. (completed or near completion) in housing studies, geography, urban history, sociology, or other relevant social sciences Demonstrated research experience in housing studies, migration studies, or urban history Strong track record of research outputs with demonstrable social impact Excellent written and oral communication skills in English Proven ability to work with complex datasets and apply appropriate analytical methods Experience with spatial analysis techniques and methodologies Strong collaborative skills and ability to work in interdisciplinary teams Preferred Qualifications: Proficiency in French or German Experience with historical data analysis and archival research Knowledge of Luxembourg's social and urban development context Familiarity with policy-relevant research and knowledge transfer activities Previous experience in international research environments What We Offer Research Environment: Dynamic, stimulating, and international research environment with approximately 200 employees Access to world-class research facilities at the Belval campus, home to the University of Luxembourg and leading research institutes Collaborative opportunities with the Luxembourg Income Study (LIS), Luxembourg Institute of Health (LIH), and Luxembourg Institute of Science and Technology (LIST) Membership in a department recognized for excellence in urban development and mobility research Professional Development: Comprehensive career support and development opportunities including specialized trainings and seminars Financial support for participation in international meetings and conferences Mentorship and guidance from leading researchers in the field Opportunities to develop competitive funding proposals with tailored institutional support Access to cutting-edge research infrastructure and analytical tools Work-Life Balance: Flexible working hours and teleworking possibilities 32.5 days of annual leave for full-time contracts Competitive remuneration package according to Collective Bargaining Agreement Additional benefits including meal vouchers and bonus payments LISER particularly encourages applications from female researchers and maintains a strong commitment to equal opportunity employment. Join our internationally recognized institute focused on scientific excellence and societal impact, contributing to sustainable and inclusive society through multidisciplinary research.
Qualcomm
About the Role Join Qualcomm China's Engineering Group as a Systems Engineer specializing in robotic vision perception systems. This position offers an exciting opportunity to work at the forefront of robotics and computer vision technology, developing cutting-edge solutions that enable autonomous robots to perceive, understand, and interact intelligently with complex environments. You'll be part of a world-class R&D team working on next-generation robotic systems that integrate advanced vision processing with real-world applications. Key Responsibilities Design and implement comprehensive robotic vision perception modules including object detection, recognition, tracking, and semantic segmentation systems Develop sophisticated multimodal perception frameworks by integrating data from diverse sensors including RGB cameras, depth sensors, LiDAR, and IMU systems Build and optimize machine learning models for critical robotic functions such as object detection, pose estimation, instance segmentation, and scene understanding Research and develop core algorithms for 3D reconstruction, simultaneous localization and mapping (SLAM), and visual-inertial navigation systems Collaborate closely with planning and control engineering teams to ensure seamless integration between perception modules and decision-making systems Optimize perception algorithms for real-time performance on embedded and edge computing platforms Conduct extensive testing and validation of vision systems across various environmental conditions and use cases Create comprehensive technical documentation, contribute to patent applications, and participate in academic publications and conferences Mentor junior engineers and contribute to technical knowledge sharing within the organization Stay current with emerging technologies in computer vision, deep learning, and robotics research Requirements Master's degree or higher in Computer Vision, Robotics, Electrical Engineering, Computer Science, or closely related technical field Strong theoretical foundation and practical experience in computer vision fundamentals including image processing, feature extraction, and pattern recognition Proven expertise in modern object detection frameworks (YOLO, R-CNN variants, Transformer-based detectors) and semantic segmentation architectures Solid understanding of 3D geometry, camera calibration, stereo vision, and photogrammetry principles Experience with multi-sensor fusion techniques and probabilistic robotics frameworks Proficiency in Python and/or C++ with experience in computer vision libraries (OpenCV, PCL) and deep learning frameworks (PyTorch, TensorFlow) Knowledge of robotics middleware and frameworks such as ROS/ROS2 for system integration Strong mathematical background in linear algebra, probability theory, and optimization methods Excellent problem-solving abilities and capability to work independently on complex technical challenges Preferred Qualifications Hands-on experience deploying robotic vision systems in real-world applications including mobile robots, robotic manipulators, autonomous vehicles, or service robotics Familiarity with state-of-the-art vision architectures including Vision Transformers (ViT), attention mechanisms, and neural radiance fields Experience with edge AI deployment, model optimization, and hardware acceleration techniques Contributions to open-source robotics or computer vision projects demonstrating technical leadership Publications in top-tier conferences or journals in computer vision or robotics Experience with cloud robotics, distributed perception systems, or robot fleet management Knowledge of safety-critical systems design and validation methodologies What We Offer Access to cutting-edge vision and robotics technologies and research facilities Collaboration with internationally recognized R&D teams and participation in global technical initiatives Flexible work arrangements supporting work-life balance in an innovative, open technical environment Competitive compensation package with comprehensive benefits Clear career development pathways with opportunities for technical and leadership growth Professional development support including conference attendance and continuing education Opportunity to contribute to breakthrough technologies that will shape the future of robotics and AI Qualcomm is an equal opportunity employer committed to providing an inclusive and accessible workplace for all individuals, including those with disabilities.