Python Jobs

16 jobs found

Aalto University

Aalto University - Academic Position About Aalto University Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our vibrant community consists of: 120 nationalities represented 14,000 students 400 professors Close to 5,000 faculty and staff members Located on our dynamic campus in Espoo, Greater Helsinki, Finland, we are committed to fostering an inclusive environment where diversity thrives. Our Commitment to Diversity Diversity is fundamental to who we are. We actively work to ensure our community's diversity and inclusiveness, which is why we warmly encourage qualified candidates from all backgrounds to join our community and contribute to our mission of creating a sustainable future through innovative research and education.

Espoo, Finland
Full-time

Rocket Lab Corporation

ABOUT ROCKET LAB Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more – all with the goal of opening access to space. The rockets and satellites we build and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations. Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope.

Auckland City, Auckland, New Zealand
Full-time

Shell Deutschland GmbH

Software Engineer - Netherlands Position Overview We are seeking a talented Software Engineer to join our dynamic team in the Netherlands. This is a regular full-time position with a start date of September 1, 2025. Key Responsibilities Design, develop, and maintain high-quality software applications Collaborate with cross-functional teams to deliver innovative solutions Write clean, efficient, and well-documented code Participate in code reviews and contribute to technical discussions Troubleshoot and resolve software issues Stay current with emerging technologies and industry best practices Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or related field Strong programming skills in relevant technologies Experience with software development lifecycle and methodologies Excellent problem-solving and analytical abilities Strong communication and teamwork skills Fluency in English; Dutch language skills are a plus What We Offer Competitive salary and comprehensive benefits package Opportunity to work with cutting-edge technologies Collaborative and innovative work environment Professional development and growth opportunities Work-life balance in a vibrant location Join our team and contribute to building exceptional software solutions while advancing your career in a supportive and dynamic environment.

Den Haag, Netherlands
Full-time

Kone

About KONE Technology and Innovation (KTI) KONE Technology and Innovation (KTI) is the innovation hub of KONE, where we seamlessly integrate the physical world of escalators and elevators with intelligent, connected digital systems. Our mission is to transform and enhance how billions of people move within buildings daily through cutting-edge digital solutions built on emerging technologies. About KONE IT As part of the KTI unit, KONE IT powers the organization with sustainable information flow. We are a multinational, diverse team of techno-functional professionals serving as trusted partners to KONE's business lines and functions. Our focus is on transforming and operating business operations through modern, scalable, and purpose-built IT solutions. We drive KONE's digital transformation journey by delivering cloud-based IT services, artificial intelligence (AI), and automation solutions. Our technology expertise enables differentiation, productivity, and business growth by leveraging technological disruption as a competitive advantage. Join Our Team Be part of a dynamic, global organization that's revolutionizing vertical transportation through innovative technology solutions. Work alongside talented professionals who are passionate about creating sustainable, intelligent systems that improve urban mobility worldwide.

Espoo, Finland
Full-time

Aalto University

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14,000 students, 400 professors and close to 5,000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community's diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

Espoo, Finland
Full-time

Caseware

Senior Software Developer - Fintech Innovation Join Caseware, a pioneering Canadian Fintech company that has been leading the global audit and accounting software industry for over 30 years. With more than 500,000 users across 130 countries and software available in 16 languages, we're the trusted choice for accounting professionals worldwide—with over 36,000 professionals listing Caseware as a key skill on their LinkedIn profiles. About the Role We're seeking a talented Senior Software Developer to join our dynamic team and contribute to cutting-edge solutions that serve accounting and audit professionals globally. This is an exciting opportunity to work with modern technologies while making a significant impact in the Fintech space. Key Responsibilities Design and develop robust, scalable software solutions for our global user base Collaborate with cross-functional teams to deliver high-quality products Participate in the full software development lifecycle Mentor junior developers and contribute to technical decision-making Ensure code quality through best practices and code reviews Requirements Bachelor's degree in Computer Science, Software Engineering, or related field 5+ years of professional software development experience Strong proficiency in modern programming languages and frameworks Experience with database design and optimization Knowledge of software architecture principles and design patterns Excellent problem-solving skills and attention to detail Strong communication skills and ability to work in a collaborative environment What We Offer Opportunity to work with a global leader in audit and accounting software Collaborative and innovative work environment Professional development and growth opportunities Competitive compensation and benefits package Ready to be part of a company that's shaping the future of accounting technology? We'd love to hear from you.

Cluj-Napoca, Romania
Full-time

Aalto University

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14,000 students, 400 professors and close to 5,000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community's diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

Espoo, Finland
Full-time

Inria

Type de contrat : CDD Niveau de diplôme exigé : Bac + 5 ou équivalent Fonction : Doctorant Contexte et atouts du poste Context and funding: This position is funded by the PEPR AS3 project. Within this framework, the HUCEBOT team is developing multimodal strategies for online control and adaptation of dynamic legged robot platforms. This PhD project explores quality diversity optimization as an alternative to traditional reinforcement learning for robot control. While reinforcement learning typically converges to a single solution for a specific task, quality diversity methods learn repertoires of policies that can solve different tasks or approach the same task in multiple ways. The research will investigate structured approaches to policy search, combining behavioral exploration, diversity-driven optimization, and meta-learning for rapid adaptation. A particular focus will be on integrating multimodal human feedback to enable intuitive adaptation in collaborative scenarios involving physical interaction, such as assistive manipulation or wearable exoskeletons. The goal is to develop more flexible and adaptable robot behaviors suited for real-world human-robot collaboration. About the team: The candidate will join the Human Centered Robotics team (HUCEBOT) in the Inria Center of the University of Lorraine in Nancy, France. The team HUCEBOT develops control, learning, and interaction skills of human-centered robots, such as humanoid, mobile manipulators and exoskeletons. The team develops learning and control algorithms for teleoperated / supervised / autonomous robots, involved in complex manipulation tasks in man-made environments. It also develops AI-based control for wearable exoskeletons designed to assist humans at work, drones and quadrupeds to explore complex environments. The team has excellent robotics facilities, including several humanoid robots (Talos, iCub, G1), manipulators, drones, passive and active exoskeletons, wearable sensors, force plates etc. Its laboratory has a 3D printing facility and a mechatronic workshop for prototyping and maintenance, and a motion capture room with Qualisys and Xsens sensors. The team consists of many research scientists, postdocs, PhD and has the support of 1 software and 1 mechatronics engineer. The team is international - English and French speaking. French is not required, although free French classes are available in the institute for non-French speakers. About the laboratory and Nancy: The Inria Center of the University of Lorraine, is co-located with the Loria laboratory, in the Science and Technology Campus of the University of Lorraine (Nancy, France), next to the Botanical Gardens, at 20 minutes by public transportation or bike from the Nancy train station and City Center. Several student residences and facilities are at walking distance. Nancy is a University town, with a high quality of life and a vibrant student, Erasmus and expat community. Life is Nancy is very affordable compared to Paris, it is easy to find a student residence or apartment. Team members can also access to SUAPS, the University’s sports facilities. About Nancy in France: Nancy is the capital of the Grand Est region in France. It is well connected by train to Paris (90 min), Strasbourg (90 min), Luxembourg and Germany. There are direct trains from Nancy to the Paris airport CDG and the Luxembourg airport LUX. The region around Nancy is ideal for outdoor activities: there are many country trails, long bike trails, forests, mountains, lakes, ski in winter too. Mission confiée This PhD project explores quality diversity optimization as an alternative to traditional reinforcement learning for robot control. While reinforcement learning typically converges to a single solution for a specific task, quality diversity methods learn repertoires of policies that can solve different tasks or approach the same task in multiple ways. The research will investigate structured approaches to policy search, combining behavioral exploration, diversity-driven optimization, and meta-learning for rapid adaptation. A particular focus will be on integrating multimodal human feedback to enable intuitive adaptation in collaborative scenarios involving physical interaction, such as assistive manipulation or wearable exoskeletons. The goal is to develop more flexible and adaptable robot behaviors suited for real-world human-robot collaboration. The candidate will collaborate with Guillaume Bellegarda (researcher), Enrico Mingo Hoffman (researcher), Jean-Baptiste Mouret (researcher), Serena Ivaldi (researcher), and Mohamed Chetouani (Professor, Sorbonne Université). Principales activités Review state-of-the-art in quality diversity optimization and meta-learning for robot control. Develop learning-based frameworks for acquiring diverse policy repertoires. Investigate online adaptation and policy selection strategies for dynamic task variations. Integrate multimodal human feedback for adaptive human-robot collaboration. Deploy and validate controllers in hardware experiments on collaborative robotic platforms. Analyze results, write papers and dissertation. Compétences Technical skills: Background in robotics, control, machine learning. Excellent skills and/or experience with simulation frameworks (i.e. Isaac, MuJoCo), reinforcement learning, and motion planning Excellent skills in Python, C++, ROS Interest and preferably experience in manipulation and legged robots Soft skills: Excellent communication skills at work, and ability to report progress Not afraid of challenging projects. Rigour and intellectual honesty Curiosity and desire to learn Practical mindset and ability to develop robust and reliable solutions Autonomy and organizational skills Love working in a multi-cultural environment Team player Avantages Restauration subventionnée Transports publics remboursés partiellement Congés: 7 semaines de congés annuels + 10 jours de RTT (base temps plein) + possibilité d'autorisations d'absence exceptionnelle (ex : enfants malades, déménagement) Possibilité de télétravail (après 6 mois d'ancienneté) et aménagement du temps de travail Équipements professionnels à disposition (visioconférence, prêts de matériels informatiques, etc.) Prestations sociales, culturelles et sportives (Association de gestion des œuvres sociales d'Inria) Accès à la formation professionnelle Sécurité sociale Rémunération 2300 € gross/month Informations générales Thème/Domaine : Robotique et environnements intelligents Calcul Scientifique (BAP E) Ville : Villers lès Nancy Centre Inria : Centre Inria de l'Université de Lorraine Date de prise de fonction souhaitée : 2026-03-01 Durée de contrat : 3 ans Date limite pour postuler : 2026-02-19 Attention: Les candidatures doivent être déposées en ligne sur le site Inria. Le traitement des candidatures adressées par d'autres canaux n'est pas garanti. Consignes pour postuler Sécurité défense : Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement. Politique de recrutement : Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap. Contacts Équipe Inria : HUCEBOT Directeur de thèse : Bellegarda Guillaume / L'essentiel pour réussir Excellent communication in English, French is a plus. Ideal profile: Master Degree studies in Robotics, Control, Engineering, Bio-engineering, or relevant fields. IMPORTANT We will only consider applications with the following attachments (add them in the PDF when completing the application): 1) Transcripts of your University classes (Bachelor, Master, Engineering School...) 2) Your CV should mention all the places where you studied, starting from High School, so please list High School, University, Bachelor/Master, College, Engineering School, Classe Preparatoires, etc. Please mention city and country. A propos d'Inria Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'efforce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.

54600 Villers-lès-Nancy, France
Full-time

Københavns Universitet

The Department of Nordic Studies and Linguistics, Faculty of Humanities, University of Copenhagen (UCPH), Denmark, invites applications for a two-year postdoctoral fellowship in natural language processing to be filled by 1 August 2026 or as soon as possible thereafter. The Department of Nordic Studies and Linguistics is home to 1600 students and 160 members of staff. It provides the setting for international research and education from BA to PhD studies within language, language technology, Natural Language Processing, literature, media, culture, and gender studies. The successful candidate will be attached to the Centre for Language Technology (CST), which is one of the research centres of the department. CST conducts research in different areas of interest for language technology, such as Natural Language Processing, construction of NLP resources, Computational Cognitive Modeling and Multimodality, NLP infrastructure and policy, Representation Learning for NLP and Digital Humanities, among others. It has a strong international profile, at the same time as pursuing the development of language technology methods and resources for the Danish language. The Centre has considerable experience managing international research projects, frequently attracts visiting researchers, and has organised major conferences in the field. In collaboration with the Department of Computer Science at the University of Copenhagen, it offers an international MSc programme in IT and Cognition. The programme, which currently admits about 30 students a year, comprises a range of courses in Natural Language Processing and Cognitive Science. In addition, we teach at several BA programs and electives, such as the BA ‘Kognitions- and Datavidenskab’ hosted at the Department of Psychology and an elective package on Language-Centric AI for students in the Humanities. Job content The successful candidate will contribute to the project METALLM (Exploring Metaphors in LLMS), granted by the Independent Research Fund Denmark 2026-2029; see https://cst.ku.dk/english/projects/metallm. The candidate will contribute to the project’s work package 1: Exploring Metaphor Encodings in LLMs. The main goal of this package is to explore the internal dynamics of LLMs when processing metaphors and to investigate their relationship to human cognition and culture. Specifically, we aim to explain how an LLM implicitly maps the literal form of a metaphor to its linguistic and cultural meaning, and how this mapping can be informed by language- and culture-specific knowledge graphs that encode relationships between metaphorical expressions and their intended meanings. We expect the candidates to have a relevant research profile in computational linguistics and natural language processing (or other related areas) with a strong publication record in Computational Linguistics conferences (ACL, EMNLP, COLING, LREC, and so on). Teaching qualifications are not a requirement, even if the candidate will contribute with limited teaching. More details on our educational programmes are provided at https://www.ku.dk/studies/bachelor/cognitive-data-science, and https://www.ku.dk/studies/masters/it-and-cognition. Qualification requirements Applicants will primarily be assessed on their research qualifications, including publications, the ability to conduct independent research and participate in research collaborations, and experience in research management. In addition, the applicant’s research plan and research potential will be assessed in relation to the project described above. Teaching qualifications are not a requirement, but since the candidate will be expected to teach to a limited extent, documented teaching experience can be included in the overall assessment. Application Applications must be submitted online in PDF or Word format. Click on the “Apply now” button at the bottom of this advertisement to apply. Applications should be written in English and must include the following attachments: Letter of motivation CV Documentation of qualifications (exam certificates and PhD diploma) Complete publication list (attached publications must be marked with an asterisk). The list must be structured systematically and divided into the following categories: Peer-reviewed publications: Monographs and anthologies Articles in journals Book chapters/anthology contributions, etc. Non-peer-reviewed publications: Publications disseminating research findings, etc. Applicants can attach a maximum of 3 publications. The publication dates must be clearly marked on the list. The selected publications must be uploaded as attachments and numbered 1-3. Research plan. Documentation of teaching competencies/teaching portfolio (see the UCPH guidelines for teaching portfolios here) and other work on the dissemination of research. Only documentation in English will be assessed. Applicants are invited to familiarize themselvees with the faculty's strategy landmarks here: Strategic landmarks – University of Copenhagen (ku.dk) Salary and terms of employment Terms of appointment and salary will be in accordance with an agreement between the Ministry of Finance and the Danish Confederation of Professional Associations (AC). The salary range starts at DKK 39,200 (EUR 5,200) + a 18,07 % contribution to the pension scheme. It is possible to negotiate salary supplements on an annual basis. The recruitment process Once the deadline for applications has expired, the Head of Department will consider advice from the appointment committee and select applicants for assessment. All applicants will be notified whether they have been shortlisted. The Head of Department will then set up an expert assessment committee to consider the applications. The selected applicants will be informed who is serving on the committee. They will be offered the opportunity to comment on the committee’s assessment of their application before the appointment is announced. Further information on the recruitment process at University of Copenhagen can be found here: Recruitment process – University of Copenhagen (ku.dk) An Equal Opportunity Workplace The University of Copenhagen is committed in its pursuit of academic excellence to equality of opportunity and to creating an inclusive working environment and therefore encourages all qualified candidates to apply, regardless of personal background, gender, sexual orientation, age, disability, ethnicity etc. For more on the diverse working place environment at the University and the University’s participation in the HRS4R HR Excellence in Research, see HR Excellence in Research – University of Copenhagen (ku.dk) International applicant? The University of Copenhagen offers a wide variety of services for international researchers and accompanying families, including support before and during your relocation and career counselling to expat partners. Please find more information about these services as well as information on entering and working in Denmark, here: For international researchers at the University of Copenhagen – University of Copenhagen (ku.dk) Contact information Information about the recruitment process is available from HR Soendre, email: , please refer to ID number: 211-2468/26-2I Additional information about the position can be obtained from Ass. Professor Ali Basirat, email: or Professor Bolette Sandford Pedersen, email: . The deadline for applications is 23:59 [CET] on 15 March 2026. Any applications or additional material submitted after the deadline will not be considered. Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre. Info Ansøgningsfrist: 15-03-2026 Ansættelsesdato: 01-08-2026 Afdeling/Sted: Department of Nordic Studies and Linguistics Indhold ikke tilgængeligt på grund af cookie-valg Du kan ikke se indholdet i dette felt på grund af dine cookie-valg. Klik her for at redigere dine cookie-indstillinger. Kategori: Markedsføring

København, Denmark
Full-time

Aalto University

About Aalto University Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our vibrant community comprises 120 nationalities, 14,000 students, 400 professors, and close to 5,000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is integral to who we are, and we actively work to ensure our community's diversity and inclusiveness. We warmly encourage qualified candidates from all backgrounds to join our innovative academic community.

Espoo, Finland
Full-time

City University of Hong Kong 香港城市大學

Position Overview Shortlisted candidates will be invited to participate in a comprehensive written assessment as part of the selection process. Compensation & Benefits We offer a highly competitive salary package commensurate with qualifications and experience. Our comprehensive benefits package includes annual leave, medical consultations, and dental care services at our campus clinic. About City University of Hong Kong City University of Hong Kong stands among the world's leading institutions, recognized for academic excellence and international diversity: • #54 Best Global Universities Rankings (U.S. News & World Report 2025-2026) • #73 World University Rankings (THE 2026) • #1 World's Most International Universities (THE 2024 & 2025) • #4 Young University Rankings (THE 2024) • #16 Asia University Rankings (THE 2025) • #7 Asia University Rankings (QS 2026) Application Process Interested candidates should submit their application through our online portal. Applications will be reviewed continuously until the position is filled. Please note that only shortlisted candidates will be contacted for further consideration. Equal Opportunity Commitment City University of Hong Kong is an equal opportunity employer committed to fostering diversity and inclusion. All personal data provided will be used strictly for recruitment and employment-related purposes in accordance with our privacy policy.

Kowloon Tong, Kowloon, Hong Kong
Full-time

Aarhus University

Postdoctoral Researcher Position in Graph Machine Learning and Energy Network Optimization The Department of Computer Science at Aarhus University invites applications for a full-time 2-year Postdoctoral position, starting April 1, 2026, or as soon as possible thereafter. About the Project This position is part of the Villum Foundation-funded project "Reuse of Waste Heat: Graph-based Algorithms for Spatio-Temporal Optimization of Thermal Networks," which investigates next-generation computational methods to support district heating network planning and operation. Position and Research Focus We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: • Modeling real-world spatio-temporal energy networks • Developing graph algorithms for optimization under physical constraints • Applying graph mining and graph data management techniques • Designing computational methods for waste heat reuse and green transition goals • Collaborating across domains, including civil/architectural engineering and energy management This position is deeply interdisciplinary and will be carried out in close collaboration with Massimo Fiorentini's group at the Department of Civil and Architectural Engineering and Kredsløb, the company managing district heating in Aarhus. The successful candidate will contribute to advancing fundamental algorithms as well as real-world applied solutions. Additionally, the Postdoc is expected to develop their own research profile and participate in the broader activities of the Department and faculty. Qualifications and Specific Competencies The ideal candidate has: • A PhD in Computer Science, Informatics, Computer Engineering, or related discipline • Strong background in one or more areas: graph algorithms, data mining, databases, machine learning, optimization, or spatio-temporal modeling • Documented experience handling research challenges and empirical evaluations • Solid programming skills in at least one relevant language (e.g., Python, C++) • Interest in interdisciplinary work involving engineering, sustainability, and real-world infrastructure • Strong written and verbal English communication skills Candidates with backgrounds in Physics, Mathematics, or Statistics are also encouraged to apply if they have strong competencies relevant to machine learning, graph analysis, or applied computational methods. We especially encourage women and candidates from underrepresented groups to apply. Aarhus University is committed to fostering a diverse and inclusive research environment. Location Department of Computer Science, Aarhus University Åbogade 34, 8200 Aarhus N, Denmark Application Requirements The application must be in English and include: • Curriculum vitae • Degree certificate • Complete list of publications • Statement of future research plans and information about research activities • Teaching portfolio and verified information on previous teaching experience (if any) Application Process This position uses shortlisting procedures. After the application deadline, the head of department, with assistance from the assessment committee chairman and appointment committee if necessary, will select candidates for evaluation. All applicants will be notified whether their applications proceed to expert assessment. Formalities and Salary Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Salary depends on seniority as agreed between these parties. About Aarhus University Aarhus University's ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets and welcome all applicants. Research activities will be evaluated in relation to actual research time. We encourage applicants to specify periods of leave without research activities to allow for accurate evaluation of scientific productivity. Aarhus University offers comprehensive services for international researchers and accompanying families, including relocation service and career counseling. We also provide a Junior Researcher Development Programme targeted at career development for postdocs. At the Faculty of Natural Science, we strive to support our scientific staff in career development, focusing on competency development and career clarification to make opportunities transparent. Application Deadline: December 19, 2025 at 23:59 CEST Applications must be submitted via Aarhus University's recruitment system, accessible through the job advertisement on the university's website.

Aarhus, Denmark
Full-time

Aarhus University

Postdoctoral Positions in Image Recognition and Computer Vision for Ecological Monitoring Department of Ecoscience, Aarhus University The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to advance our research in image recognition, computer vision, and deep learning applied to ecological monitoring. The successful candidates will develop analysis pipelines and implement next-generation sensors for automated insect monitoring across Europe as part of ongoing EU Horizon Europe projects. Position Details Duration: 2-year postdoctoral positions Start Date: June 1, 2026, or as soon as possible thereafter Research Focus Insect declines represent an urgent ecological and societal challenge requiring innovative approaches to biodiversity data collection and interpretation. We are expanding our research group working on image-based methods for large-scale biodiversity monitoring, seeking candidates eager to push the boundaries of automated ecological data collection. These positions focus on improving detection and classification performance of deep learning models applied to millions of images collected in European monitoring programs. Key Responsibilities Quantify insect abundance, diversity, and biomass from image data Validate and benchmark model outputs Develop efficient pipelines for localizing insects on simple backgrounds and complex natural scenes Improve taxonomic classification using hierarchical classification schemes and anomaly-detection methods Test and validate next-generation insect camera traps with on-device computing for real-time detection and classification Collaborate in interdisciplinary teams spanning ecology, computer science, engineering, and biodiversity monitoring Communicate results and work closely with international partners and stakeholders These positions will contribute to developing scalable image-based monitoring tools capable of addressing fundamental questions in biodiversity and conservation. Required Qualifications PhD in computer science, biology, software engineering, or related field Strong proficiency in Python with experience in modern deep learning frameworks Solid understanding of applied statistics Experience working with large-scale image datasets Excellent English communication skills Desirable Qualifications Experience with ecological datasets or biodiversity applications Experience with hardware integration, embedded systems, or edge computing Track record of publishing technical or interdisciplinary work in relevant scientific journals Motivation to work in international and interdisciplinary research environments About the Department The Department of Ecoscience conducts world-class research in aquatic and terrestrial biology and ecology, arctic environment and ecosystems, and biodiversity and conservation biology. We employ approximately 275 academic and technical staff plus many PhD students, offering a vibrant and informal research environment with longstanding traditions for collaboration with elite international university partners. What We Offer Join a dynamic research environment emphasizing teamwork and close working relationships. The department maintains a strong work-life balance policy and actively promotes gender and age diversity. English is widely spoken, and we welcome international applicants. We offer comprehensive services for international researchers and accompanying families, including relocation services and career counseling for partners. Location C. F. Møllers Allé 8, DK-8000 Aarhus C, Denmark Application Deadline March 3, 2026 Application Requirements Applications must be in English and include: Curriculum vitae Degree certificates Complete list of publications Statement of future research plans Information about research activities Teaching portfolio and verified teaching experience (if applicable) Applications must be submitted via Aarhus University's online recruitment system. A shortlisting process will be used, and all applicants will be notified whether their applications proceed to expert assessment committee evaluation. Aarhus University is committed to fostering an attractive and inspiring workplace for all, valuing equality and diversity as assets. We encourage applicants to specify any periods of research leave to ensure fair evaluation of scientific productivity.

Aarhus, Denmark
Full-time

City University of Hong Kong 香港城市大學

Assessing the Basic Law: A Discourse-Analytic Investigation of the Targeted Use of Evidentiality in the HKSAR Appellate Courts Research Data Visualization Position Key Responsibilities Develop and produce various data visualizations for an innovative legal linguistics research project examining evidentiality patterns in Hong Kong appellate court discourse Create compelling visual representations of complex linguistic and legal data Support research analysis through effective data presentation techniques Requirements Essential Qualifications: Relevant Diploma or current full-time undergraduate enrollment Minimum of 5 passes in HKCEE/HKDSEE subjects Preferred Skills: Demonstrable expertise in data visualization techniques Proficiency in relevant visualization tools and software Strong analytical and design capabilities What We Offer Highly competitive salary package commensurate with qualifications and experience Opportunity to contribute to cutting-edge interdisciplinary research Dynamic academic environment at a world-renowned institution About City University of Hong Kong Join one of the world's leading universities, consistently ranked among the top institutions globally: #54 Best Global Universities (U.S. News & World Report 2025-2026) #73 World University Rankings (THE 2026) #1 World's Most International Universities (THE 2024 & 2025) #4 Young University Rankings (THE 2024) City University of Hong Kong is committed to diversity and equal opportunity employment. We foster an inclusive environment where innovative research thrives. Application Process: Submit your online application for immediate consideration. Applications will be reviewed on a rolling basis until the position is filled. Only shortlisted candidates will be contacted.

Kowloon Tong, Kowloon, Hong Kong
Part-time

SLB

SLB is leading our industry into digital transformation. Our digital technology experts harness the full power of data to solve the domain's biggest challenges. We leverage the elasticity and collaboration of the cloud, apply the efficiency of high-performance computing, tap into the connectivity of the Industrial Internet of Things (IIoT), and create the industry's most advanced data ecosystems. Data drives everything we do, and our teams are at the heart of each innovation, collaborating with interdisciplinary experts to shape our dynamic global industry. With more than 90 technology centers worldwide, we have cultivated the industry's most expansive innovation network. Our teams play a crucial role in this technology leadership, collaborating with the world's brightest minds to solve challenges others deem impossible. With robust, dynamic training in emerging technologies and professional development, we support our teams at every stage of their SLB journey. In our global centers from Silicon Valley, to Europe, to Asia, our experts apply the latest technologies in a creative environment where breakthroughs flourish. Our team's solutions make a measurable impact, shaping operations in one of the world's most dynamic industries. Opportunities Available: We are looking for highly skilled graduates in the following areas to join our team: SLB Digital Positions: Artificial Intelligence Engineer Back End Software Engineer Data Analytics Engineer Data Engineer Data Scientist Desktop Software Engineer Embedded Software Engineer Front End Software Engineer Full Stack Software Engineer High-Performance Computing Engineer IIoT Engineer Machine Learning Engineer QA Automation Engineer Quality Assurance Engineer Scientific Computing Engineer Software Security Engineer User Experience Designer Benefits & Opportunities: International Opportunities Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere. Insurance Health, vision, and dental insurance for you and your dependents available from day one. Learning Opportunities Continuous professional development with access to emerging technologies and comprehensive training programs throughout your career journey. Diverse and Inclusive Culture Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced. About SLB We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all. Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally. SLB is an equal employment opportunity employer committed to workplace diversity and inclusion. We provide reasonable accommodations for qualified applicants with disabilities throughout the hiring process.

Australia, Australia
Full-time

Aarhus University

The Department of Environmental Science at Aarhus University (AU-ENVS), Roskilde, invites applications for a 3-year position as postdoc in atmospheric modelling to carry out research on large wildfires and their impacts on both the stratosphere and climate combining different model systems. The position is to be filled by 1 May 2026 or as soon as possible thereafter. Expected start date and duration of employment The position is available from 1 May 2026 and is a 3-year (36-month) appointment. Description of the position The position is part of the FireStrat project that aims to quantify the influence of wildfire aerosols on stratospheric chemistry, ozone, and climate using advanced atmospheric modeling funded by the Novo Nordisk Foundation. In the project, new aerosol and chemistry modules will be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and future climate scenarios. Model outputs will be validated against satellite observations and used to assess ozone depletion and possible climate feedback. International collaborators will advise on model development; therefore, some travel is to be expected. The postdoc’s research focuses on determining the changes to stratospheric aerosols, gas phase and heterogeneous chemistry, and possible ozone depletion following large wildfires events that reach the stratosphere, also assessing the impacts they have on ozone layer recovery in different climate scenarios. The postdoc will: Couple GEOS-Chem with the Community Earth System Model (CESM) to allow for direct climate scenario modelling using GEOS-Chem as the chemistry module in CESM and develop modules to include wildfire aerosols and heterogeneous chemistry. Design and conduct model experiments using the coupled models, run simulations to test different wildfire scenarios in different climate scenarios, perform sensitivity tests of the updated chemistry and aerosol modules, and assess the importance of different processes with a comparison to available observations. Analyse large model output and observational datasets to determine the impacts and main drivers of changes to stratospheric ozone from wildfires. Collaborate closely with FireStrat international collaborators in the UK and USA. Publish findings in international journals and present results at conferences. Qualifications We are looking for a highly motivated researcher with a background in atmospheric chemistry, physics, mathematical modelling, climate science, or related fields. The ideal candidate should have: Experience with numerical climate models and/or chemical transport models such as CESM and/or GEOS-Chem. Advanced programming skills in Python, Fortran, or other relevant languages. Experience in wildfire research. Experience with high-performance computing (HPC) environments. A strong publication record relative to career stage. Ability to organize tasks and work in an interdisciplinary team. Further requirements are English fluency, good writing and verbal communication skills. Ability to work independently and in an international academic environment. Applicants should hold scientific qualifications at the PhD graduate level. Application Please see below for guidance and formalities regarding the application procedure. Per default, the application system requires upload of Cover letter – please state your reasons for applying and your relevant qualifications Curriculum vitae Degree certificate Complete list of publications Statement of research plans and research activities – please indicate your previous research and your intentions and visions with regard to carrying out the work involved in the position Teaching portfolio – please be aware, however, that apart from possible supervision and outreach activities, teaching is not planned for this position. Place of work The place of work is Frederiksborgvej 399, 4000 Roskilde. Contact person If you have any questions, please contact Associate Professor Freja Chabert Østerstrøm, +4587150623, . Department of Environmental Science The Department of Environmental Science is an interdisciplinary unit within the Faculty of Technical Sciences at Aarhus University. Our research covers physics, chemistry, microbiology, social sciences, geography, and environmental economics, addressing global challenges such as pollution control, land and water management, biodiversity protection, and climate change. The department also provides expert advisory services to ministries and authorities. While we do not run a master’s program in environmental science, there are some opportunities for teaching and supervision. We value equality, diversity, and a balanced work-life approach. Currently, about 140 staff, postdocs, and PhD students work in the department. The selected candidate will join the Section for Atmospheric Emissions and Modelling, working with a variety of research topics related to both climate and air pollution. The Climate Modeling Group works with issues related to climate dynamics, climate change and climate feedback on both large and small scales. The Group for Atmospheric Modelling conducts research that focuses on the fundamental processes involved in atmospheric transport, chemical transformation and deposition of air pollution. Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment committee if necessary, – the head of department selects the candidates to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants. Letter of reference If you want a referee to upload a letter of reference on your behalf, please state the referee’s contact information when you submit your application. We strongly recommend that you make an agreement with the person in question before you enter the referee’s contact information, and that you ensure that the referee has enough time to write the letter of reference before the application deadline. Unfortunately, it is not possible to ensure that letters of reference received after the application deadline will be taken into consideration. If you wish to add a referee after you have submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: Formalities and salary range Technical Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation. The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here. Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities. Salary depends on seniority as agreed between the Danish Ministry of Taxation and the Confederation of Professional Associations. Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity. Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.

Roskilde, Denmark
Full-time