KODUKULA ASSOCCIATES
**Join Vedanta Mobility – A First-of-Its-Kind Immigration AI Platform** *Powered by Kodukula Associates* Locations: India | Qatar | Uzbekistan | Portugal | Remote Vedanta Mobility is revolutionizing global migration through AI, ethics, and spiritual intelligence. We're hiring visionary professionals to help build the world's first platform that blends: • Vedic Astrology • Hijri Calendar Ethics • Christian Moral Framework • Legal-Tech & Migration Intelligence **Work Locations & Visa Policy** *India* - No visa required *Qatar* - Offer letter provided; candidate pays lawyer fees *Uzbekistan* - Offer letter provided; candidate pays lawyer fees *Portugal* - Offer letter provided; candidate pays lawyer fees **Internal Transfer Clause** If a candidate begins employment in India or Remote and is transferred by the company after completing one year, Vedanta Mobility will cover all legal fees for visa processing related to that transfer. **Employee Benefits** • Competitive salary + performance incentives • Accommodation assistance (paid directly to provider) • Career growth in AI, legal tech, and ritual intelligence • Training programs for youth in AI, legal-tech, and spiritual design • Participation in Uzbekistan IT Park's export programs **Strategic Vision & Global Impact** • HQ: India or Uzbekistan IT Park • Operations: India, GCC, Portugal, South Asia • Goal: Create 100+ jobs in Year 1 • Seed funding: $500,000 for product, team, and pilot launch • Full compliance with GDPR, HIPAA, Sharia law, and Gulf visa regulations **Career Growth in Global Immigration & Investment Migration** Vedanta Mobility offers career pathways aligned with investment-based migration and AI-driven immigration systems across: *USA* - EB-5 Investor Visa, AI compliance tools, startup migration analytics *UK* - Innovator Founder Visa, AI for sponsor license automation *Canada* - Start-Up Visa, AI for Express Entry scoring and LMIA optimization *Europe* - Golden Visa, AI for Schengen compliance and digital nomad pathways *Caribbean Nations* - Citizenship by Investment, AI for due diligence and fraud detection **Open Positions** **1. Immigration Analysts - 30 Positions** *Focus*: Investment migration, visa scoring, compliance *Responsibilities*: • Analyze global visa programs (EB-5, Golden Visa, Start-Up Visa) • Score applicant profiles using AI tools • Ensure legal and ethical compliance across jurisdictions *Ideal for*: BA LLB graduates, legal researchers, migration consultants **2. AI Legal Engineer - 10 Positions** *Focus*: Predictive models, fraud alerts, document automation *Responsibilities*: • Build AI models for visa approvals and risk detection • Automate legal documentation workflows • Collaborate with legal and tech teams to ensure regulatory alignment *Ideal for*: AI developers with legal-tech experience **3. Migration Strategists - 10 Positions** *Focus*: Cross-border pathways via investment and residency *Responsibilities*: • Design migration strategies for high-net-worth individuals • Align visa timelines with spiritual calendars • Advise on compliance across USA, UK, Canada, EU, Caribbean *Ideal for*: Immigration planners, policy analysts, global mobility experts **4. Ritual & Ethics Advisor (Hindu, Christian, Muslim) - 10 Positions** *Focus*: Spiritual calendar alignment for migration decisions *Responsibilities*: • Guide clients using Vedic, Hijri, and Christian frameworks • Integrate rituals into onboarding and relocation timelines • Collaborate with AI teams to embed ethical logic *Ideal for*: Scholars, spiritual advisors, cultural consultants **5. Global Case Manager - 10 Positions** *Focus*: Investor profiles, embassy coordination, onboarding rituals *Responsibilities*: • Manage client journeys from visa filing to post-arrival setup • Coordinate with embassies, recruiters, and onboarding teams • Ensure smooth transition across borders *Ideal for*: HR professionals, legal coordinators, client success managers **What We Offer** • Competitive salary +
Inria
Le descriptif de l’offre ci-dessous est en Anglais Type de contrat : Convention de stage Niveau de diplôme exigé : Bac + 4 ou équivalent Fonction : Stagiaire de la recherche Contexte et atouts du poste Context and funding: This position is funded by the PEPR O2R AS3 project. Within this framework, the HUCEBOT team is developing multimodal strategies for online control and adaptation of dynamic legged robot platforms. This project investigates learning dynamic force-based locomotion skills in legged robots. Current locomotion frameworks often emphasize position-based control rather than the underlying force interactions that govern stability and agility. By focusing on learning time-varying force profiles, the proposed work aims to achieve efficient, adaptive, and dynamically balanced locomotion behaviors, particularly for jumping and other impulsive tasks. 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 project investigates learning dynamic force-based locomotion skills in legged robots. Current locomotion frameworks often emphasize position-based control rather than the underlying force interactions that govern stability and agility. By focusing on learning time-varying force profiles, the proposed work aims to achieve efficient, adaptive, and dynamically balanced locomotion behaviors, particularly for jumping and other impulsive tasks. The internship is for a 4 to 6 months period and must terminate before mid-July. The candidate will collaborate with Guillaume Bellegarda (researcher) and Serena Ivaldi (researcher). Principales activités Review state-of-the-art in force and impedance-based control for legged robots. Develop learning-based frameworks for discovering optimal force profiles in legged robots (simulation). Generalize learned behaviors to different morphologies and terrains (simulation). Deploy controllers in hardware experiments on the Unitree G1 (and possibly other platforms). Analyze results and write report. Compétences Technical skills: Background in robotics, control, machine learning. Excellent skills and/or experience with simulation frameworks (i.e. Isaac, MuJoCo), reinforcement learning, and force/impedance control Excellent skills in Python, C++, ROS Interest and preferably experience in force control and legged robots Soft skills: Excellent communication skills at work, and ability to report progress Not afraid of challenging projects Rigor 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 Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) Possibility of teleworking (after 6 months of employment) and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage Rémunération €4.35/hour 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 : 2026-02-01 Durée de contrat : 5 mois Date limite pour postuler : 2026-01-05 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 Recruteur : Bellegarda Guillaume / guillaume.bellegarda@inria.fr L'essentiel pour réussir Excellent communication in English, French is a plus. Ideal profile: Bachelor / 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.
Inria
Type de contrat : Convention de stage Niveau de diplôme exigé : Bac + 4 ou équivalent Fonction : Stagiaire de la recherche Contexte et atouts du poste Context and funding: This position is funded by the euROBIN project. Within this framework, the HUCEBOT team is developing multimodal strategies for online control and adaptation of dynamic legged robot platforms. This project explores data-driven methods for enabling humanoid robots to perform dynamic whole-body manipulation tasks that involve rapid and coordinated motion. Traditional manipulation approaches rely on quasi-static assumptions and preplanned trajectories, which limit performance in scenarios requiring fast responses and predictive control. This work aims to develop learning and control strategies that allow humanoids to stably interact with moving objects and execute agile manipulation behaviors in real time. 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 project explores data-driven methods for enabling humanoid robots to perform dynamic whole-body manipulation tasks that involve rapid and coordinated motion. Traditional manipulation approaches rely on quasi-static assumptions and preplanned trajectories, which limit performance in scenarios requiring fast responses and predictive control. This work aims to develop learning and control strategies that allow humanoids to stably interact with moving objects and execute agile manipulation behaviors in real time. The internship is for a 4 to 6 months period and must terminate before mid-July. The candidate will collaborate with Guillaume Bellegarda (researcher) and Serena Ivaldi (researcher). Principales activités Review state-of-the-art in loco-manipulation for legged robots. Develop learning-based frameworks for perceptive and dynamic whole-body manipulation (simulation). Investigate predictive and feedback strategies for handling dynamic object interactions (simulation). Integrate cameras and vision for object tracking (hardware). Deploy controllers in hardware experiements on the Unitree G1 (and possibly other platforms). Analyze results and write report. 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 4.35 €/heure 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 : 2026-02-01 Durée de contrat : 5 mois Date limite pour postuler : 2026-01-05 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 Recruteur : Bellegarda Guillaume / guillaume.bellegarda@inria.fr L'essentiel pour réussir Excellent communication in English, French is a plus. Ideal profile: Bachelor / 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.
Aarhus University
**Postdoctoral Position in Neuromorphic Spintronics** The Department of Electrical and Computer Engineering at Aarhus University, Denmark, invites applications for a one-year postdoctoral position in the field of Neuromorphic Spintronics. **Position Details** Duration: One-year fixed-term appointment (March 1, 2026 - February 28, 2027) Application deadline: January 5, 2026 **Key Responsibilities** - Develop device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing - Explore hardware-level security mechanisms based on intrinsic stochasticity and non-volatility of nano-devices - Implement simulation frameworks and conduct experimental validation through laboratory characterization of devices and circuits - Design and evaluate energy-efficient, secure computing systems for AI and edge applications - Contribute to collaborative research proposals, dissemination activities, and joint publications in leading international venues - Guide and mentor Master's and Ph.D. students and work with collaborators as needed **Required Qualifications** - Ph.D. in Electrical Engineering, Electronics Engineering, Materials Science, Physics, or closely related field - Experience with EDA tools, device characterization, data analysis, and/or numerical simulations/validation - Knowledge in one or more of the following areas: - Spintronics, memristors, or nanoscale devices - Device or circuit modeling (SPICE, Verilog-A, or equivalent) - VLSI/architecture or Spintronic-CMOS design for AI systems - Hardware-based security primitives - Strong communication and language skills - Personal skills including adaptability and critical thinking **Preferred Qualifications** - Teaching experience - Publication experience - Collaboration and/or management skills **Research Environment** Join a new research group in Spin-Electronics Neuromorphic Engineering at the Biomedical Engineering Section. Our state-of-the-art facilities include magnet systems, probe stations, source-meters, oscilloscopes, and signal analyzers for spintronic and memristive device characterization. You'll collaborate with national and international partners across device physics, circuit design, and system security domains in an interdisciplinary approach bridging materials-to-systems-level innovation. **What We Offer** - Advanced research infrastructure, laboratories, and shared equipment access - Career development opportunities through European, Nordic, and Global research networks - Exciting interdisciplinary environment with extensive national, international, and industrial collaborations - Research climate encouraging open and critical discussion across different fields - Close working relationships, networking opportunities, and social activities - Professional work environment emphasizing equality and healthy work-life balance - Junior Researcher Development Programme for postdoctoral career advancement - Comprehensive services for international researchers and families, including relocation assistance and career counseling for partners **Location** Department of Electrical and Computer Engineering (Biomedical Engineering Section) Finlandsgade 22, Building 5125, 8200 Aarhus N, Denmark **Application Requirements** Applications must be submitted 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 teaching experience (if applicable) Applications undergo a shortlisting process with expert assessment committee evaluation. Applicants will be notified of their selection status and given opportunity to comment on assessments. Salary is determined according to seniority levels established by collective agreements between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Aarhus University is committed to fostering an attractive, inspiring workplace for all employees, promoting equality and diversity as valuable assets. We encourage all qualified candidates to apply and welcome applications that specify career interruptions for fair evaluation of research productivity.
Københavns Universitet
**Postdoctoral Position in School Choice and Admissions Systems Modeling** The Copenhagen Center for Social Data Science (SODAS), Faculty of Social Sciences, University of Copenhagen (UCPH), invites applications for a postdoctoral position focused on modeling and simulation of school choice and admissions systems. This two-year, full-time position begins July 1, 2026, with earlier start dates possible upon agreement. **About the Project and Position** This position is part of the "Implementation and Perception in School Choice" project, where you will collaborate with distinguished researchers including Christopher Neilson (Yale University), Mikkel Gandil (Rockwool Foundation), Hessel Oosterbeek (University of Amsterdam), and PhD student Christian Fogel Henneberg. You will be employed at SODAS while affiliated with the Economics Department. SODAS is an interdisciplinary research, teaching, and impact center that integrates traditional social science theories with cutting-edge data science approaches. Our center hosts over 40 researchers from diverse backgrounds and provides an exceptional collaborative, international research environment supporting both research excellence and professional development. **Key Responsibilities** Working under the supervision of PI Andreas Bjerre-Nielsen, you will: - Develop and estimate structural models of school application behavior - Simulate school admission processes under various allocation mechanisms - Estimate causal effects of school admission outcomes and their broader societal impact - Analyze large-scale administrative datasets - Contribute to publications in leading academic journals - Collaborate with project team members and international researchers **Required Qualifications** - PhD in economics, applied economics, operations research, social data science, or related field (completed before position start) - Strong expertise in structural modeling, particularly discrete choice or matching models - Proficiency in Python or R for data processing, modeling, and simulation - Experience with large-scale data management and statistical analysis - Excellent quantitative skills and programming abilities - Ability to work both independently and collaboratively **Preferred Qualifications** - Knowledge of or interest in education policy and school choice systems - Experience contributing to high-impact academic publications **What We Offer** This position provides an exceptional opportunity to conduct cutting-edge research with significant real-world policy implications. You'll join an interdisciplinary team contributing to impactful research targeting top-tier academic journals. **Faculty Strategic Vision** SODAS operates within the Faculty of Social Sciences, a dynamic academic community committed to putting knowledge into action by: - Engaging partners in knowledge co-creation and social change - Empowering students to become reflective, responsible citizens equipped to improve society - Energizing global knowledge communities through innovative research methodologies and impactful findings **Employment Terms** Employment terms follow Danish university standards and the Danish Confederation of Professional Associations (Akademikerne) guidelines. Starting salary is approximately 39,200 DKK monthly plus 18.07% pension contribution, with potential for annual salary supplements through negotiation. **Equal Opportunity Commitment** The University of Copenhagen is committed to academic excellence and equality of opportunity. We maintain an inclusive working environment and encourage applications from all qualified candidates regardless of personal background, gender, sexual orientation, age, disability, or ethnicity. **International Support** The University offers comprehensive services for international researchers and families, including relocation support and career counseling for partners. **Application Requirements** Submit your complete application in English through our online portal, including: - Motivated application letter - Curriculum vitae - Diplomas (master's and bachelor's degrees) - Other relevant materials **Application Deadline: January 18, 2026 at 23:59 CET** Applications received after this deadline will not be considered.
Aarhus University
Are you interested in real-time distributed systems, IoT connectivity, and AI-driven automation? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a 2-year postdoctoral position working on cutting-edge research in IoT sensor networks for critical infrastructure monitoring and mission-critical control systems. Expected start date and duration of employment This is a 2-year position starting 1 February or as soon as possible thereafter. Job description We are seeking an innovative researcher to contribute to research projects focused on real-time distributed systems and AI-enhanced automation for critical infrastructure monitoring and control. Your primary focus will be on designing and validating IoT sensor networks with long-range wireless communication capabilities for real-time monitoring of critical infrastructure. A key application area will be smart grid powerline monitoring, where you will work on: Designing and leading the development of low-power, low-latency communication protocols using LPWAN technologies for distributed sensor deployments Ensuring resilient, real-time data acquisition from distributed sensor networks in challenging operational environments Architecting and implementing AI autoencoders (e.g., TensorFlow Lite) for intelligent sensor data feature learning Taking ownership of secure data concentrator system design that aggregates multi-sensor data and interfaces with industrial control systems such as SCADA Integrating security modules to ensure resilient and secure system operations Validating system performance through prototype testing and field demonstrations. While working within these application domains, you will have freedom to identify research questions, propose novel approaches, and pursue innovative solutions. We encourage independent thinking and creativity and value your contributions to advancing the state of the art in IoT systems and critical infrastructure monitoring. The position offers an exciting opportunity to work on fundamental challenges in distributed systems, real-time communication, and AI-enhanced automation with applications across multiple critical infrastructure domains. You will collaborate closely with industry partners and contribute to deliverables with direct real-world impact. You will be encouraged and supported to publish your research findings in top-tier conferences and journals, present at international venues, and develop your independent research profile. The position provides an excellent foundation for building expertise in IoT systems and critical infrastructure, positioning you for future academic or industry leadership roles. Your profile Applicants should hold a PhD in Computer Science, Electrical Engineering, Computer Engineering, Telecommunications, or a similar field, with a strong foundation in distributed systems and communications. We are looking for candidates with: Strong software development skills for wireless communication systems and IoT technologies, with experience in implementing communication protocols Proven expertise in real-time systems, embedded systems, or edge computing Knowledge of network protocols and communication systems and data aggregation techniques Experience with AI/ML implementation, particularly for sensor data processing, feature learning, or autonomous system control Solid software development skills in languages such as Python, C/C++, or similar, with experience in system architecture design The following qualifications would be considered strong advantages: Experience with edge AI frameworks (e.g., TensorFlow Lite) Familiarity with mission control systems, SCADA systems, or critical infrastructure monitoring Background in cybersecurity for IoT Knowledge of industrial IoT applications in energy systems, smart grids, or other critical infrastructure Publication record in relevant conferences or journals Demonstrated ability to work in interdisciplinary teams bridging academic research and industrial application Personal skills We value strong communication skills, ability to work independently as well as collaboratively in international teams, and a proactive approach to problem-solving. Experience in translating research results into practical implementations is highly valued. Who we are The Department of Electrical and Computer Engineering (ECE) at Aarhus University is a leading research institution with strong expertise in computer science, electrical engineering, and wireless communication systems. We maintain active collaborations with industry partners and are involved in multiple national and international research projects focused on IoT and critical infrastructure. You will be joining the Networks and Analytics (NAN) research group, which focuses on research and innovation in developing and applying internet technology across a wide selection of fields in electrical and computer engineering for real-world, large-scale applications. The NAN group has strong expertise in wireless networks, routing, network security, data analytics, and cooperative multi-agent systems, with extensive experience in smart energy grids, smart and integrated transport and satellite communication systems. Our research group provides a dynamic and supportive environment where interdisciplinary collaboration is encouraged. You will have the opportunity to work with both academic researchers and industry professionals, contributing to projects with real-world impact. Department web site: https://ece.au.dk What we offer The Department of Electrical and Computer Engineering offers: An exciting opportunity to work on cutting-edge research in IoT systems and critical infrastructure monitoring A well-developed research infrastructure with access to state-of-the-art laboratories and computing facilities Strong industrial partnerships providing direct pathways to real-world implementation and validation An interdisciplinary research environment with collaboration opportunities Active international research networks and opportunities to present work at leading conferences Opportunities to co-supervise bachelor’s, master's and PhD students A supportive work environment that values work-life balance, professional development and openness Place of work and area of employment The place of work is Helsingforsgade 10, 8200 Aarhus N (Denmark), and the area of employment is Aarhus University with related departments. Contact information For further information, please contact: Professor Rune Hylsberg Jacobsen, +45 4189 3252, rhj@ece.au.dk. Deadline Applications must be received no later than 15 December 2025. 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: HR.Nattech@au.dk 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.
Aarhus University
SustainScapes – Center for Sustainable Landscapes under Global Change at Department of Biology and Center for Ecological Genetics (Ecogenetics), Aarhus University, advertises a postdoc position within Ecological Data Science. Start date as soon as possible and end date 31st of December 2028. SustainScapes focuses on providing the scientific basis for rethinking landscapes for restoring biodiversity in a world with increasing resource needs and a changing climate. Ecogenetics focuses on understanding patterns of genetic diversity within and among species across fragmented landscapes. The centers are funded by the Novo Nordisk Foundation and led by Prof. Signe Normand and Prof. Trine Bilde, Department of Biology, Aarhus University. Expected start date and duration of employment The position is expected to start 1st of February 2026 or as soon as possible and will end 31st of December 2028. Job description The postdoc position is focused on understanding spatiotemporal current patterns of biodiversity and model the potential future biodiversity recovery given during land use transformation and restoration in Denmark. This involves spatial and temporal optimisation and prioritisation of land for biodiversity, as well as analyses of past and current land use configurations for multiple facets of biodiversity, i.e. species, functional, phylogenetic, and genetic diversity. The tasks will encompass: Conceptualisation and theoretical development of spatiotemporal optimisation of biodiversity dynamics during recovery. Synthesising and modelling and species pools and biodiversity patterns given different restoration measures. Prioritisation and optimisation of land for biodiversity, relative to other societal challenges, in particular climate change. Geospatial analyses of past and current land use patterns of importance for changes in effective populations sizes and genetic diversity patterns. Qualifications Ideally you have a PhD in natural sciences with a strong research background and several years of work experience in data science for ecological studies of multiple facets of biodiversity, i.e. species and genetic diversity. Specifically, we look for the following qualifications: PhD in biology, ecology, environmental science with several years and proven experience in one or several of those research fields including expertise in macroecology and systematic conservation planning. Proven expertise in temporal and geospatial analyses of biodiversity patterns, and their drivers. Including the conceptualisation and development of new methodological approaches. Strong documented skills in advanced optimisation and prioritisation of biodiversity, e.g. in AMPL, prioritizr. Proven skills in deriving landscape metrics of relevance for understanding patterns of genetic diversity, e.g. fragmentation and connectivity. Proven skills in the implementation of species distribution models and the modelling of species pools across natural and agricultural landscapes under transformation. Proven capabilities of acquiring, downloading, handling, and synthesising big data geospatial data sets from various data sources. Cutting-edge expertise in advanced statistical analyses of large data sets and strong knowledge of programming languages (e.g., R, Python). Proven ability to publish at a high international level. It is a prerequisite that you are good at communicating in English. Strong collaborative skills and good collaboration skills across different groups of employees. At SustainScapes and Ecogenetics we emphasize a good relationship between colleagues and students. It is therefore important that you have a positive and open personality. The Department of Biology The Department of Biology (http://bio.au.dk/) provides a framework for research and teaching in all major biological subdisciplines. The department is especially known for its research contribution in biodiversity, global change and conservation biology, aquatic biology and ecology, arctic environment and ecosystems, genetics and evolution, microbiology and zoophysiology. The department currently encompasses approximately 200 academic and technical staff and 45 PhD students while 400 students follow the BSc and MSc programs offered by the institute. The department offers a vibrant and informal research environment with a long-standing tradition of collaboration with international university partners. Much of the internal communication is in English and we welcome international applicants. What we offer an exciting interdisciplinary environment with many national, international and industrial collaborators a work environment encouraging lively, open and critical discussion a work environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance Place of work and area of employment The place of employment is Aarhus University, Department of Biology, Section for Ecoinformatics and Biodiversity (ECOINF), Ny Munkegade 114, DK-8000 Aarhus C, Denmark, and the area of employment is Aarhus University with affiliated institutions. The work involves some periods of field work away from Aarhus. Contact information For further information, please contact: Prof. Signe Normand, +45 93 52 28 77, signe.normand@bio.au.dk. Deadline Applications must be received no later than January 7, 2026. 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: HR.Nattech@au.dk Formalities and salary range Natural 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. At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in their career development. We focus on competency development and career clarification and want to make your opportunities transparent. On our website, you can find information on all types of scientific positions, as well as the entry criteria we use when assessing candidates. You can also read more about how we can assist you in your career planning and development. The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.
Aarhus University
**Postdoctoral Researcher Positions in AI-based Learning for Physical Simulation** The Department of Mechanical and Production Engineering, Aarhus University, invites applications for two 1-year postdoctoral positions (with possibility of extension) offering applicants an exciting opportunity to join the ERC-funded project "ALPS - AI-based Learning for Physical Simulation". **Expected start date and duration of employment** These are 1-year positions from 1 May 2026 or as soon as possible. **Job description** You will contribute to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. Your work will focus on scientific machine learning methods, including symbolic regression and neural networks. You will apply these algorithms to discover new models in different fields, including robotic control, mechanics of materials, fluid mechanics and biological systems, in collaboration with other researchers and companies. **Your profile** Applicants should hold a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar field. **Required skills:** - Strong background in machine learning/data science - Deep knowledge of neural network architectures and training (preferred: PINNs, neural operators, transformers/LLM) - Strong Python programming skills and knowledge of scientific computing libraries (numpy, scipy, JAX) and machine learning libraries (scikit-learn, PyTorch) - Flexibility to adapt to different application fields - Independence and time management - Professionalism, strong research ethics, and commitment to research quality Additional programming experience in C++ or Julia is a plus. **Who we are** The Computational Physics and Machine Learning Lab led by Prof. Lucantonio is a newly established group within the Mechanics and Materials Section of the Mechanical and Production Engineering Department. The group currently consists of 3 PhD students. Our focus is developing new algorithms that allow discovery of interpretable and accurate models of complex physical systems starting from data, ranging from robotic systems to traffic and turbulent flows. We are implementing these methods in high-performance open-source libraries to make them scalable and available to researchers and engineers for a wide range of applications. **What we offer** Aarhus University offers: - An exciting interdisciplinary environment with many national, international and industrial collaborators - The opportunity to co-supervise PhD and MSc students working in related topics - A workplace characterized by professionalism, equality and a healthy work-life balance **Place of work** Department of Mechanical and Production Engineering, Faculty of Technical Sciences, Katrinebjergvej 89, 8200 Aarhus N. **Application deadline** Applications must be received no later than 31 January 2026. **Application requirements** 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). **Additional information** Appointment shall be in accordance with the collective labor agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. 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. We encourage applicants to specify periods of leave without research activities to allow proper evaluation of scientific productivity. Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counseling to expat partners. The university also offers a Junior Researcher Development Programme targeted at career development for postdocs.
Aarhus University
The Danish School of Education (DPU) at the Faculty of Arts, Aarhus University, invites applications for a fixed-term one-year postdoctoral position associated with the project Hybrid text practices in the Danish L1 classroom. Polyphony, coherence and involvement when writing with generative AI, financed by the Independent Research Fund Denmark. The project runs for 44 months, beginning in March 2026. The position is full-time (37 hours/week) and begins on 1 March 2026 or as soon as possible thereafter. Our new colleague will be employed at the Department of Educational Theory and Curriculum Studies, Educational Philosophy, and General Education. The position is based at DPU at either Aarhus campus or Emdrup campus (see the description of DPU below). Since the department is situated in both Aarhus and Copenhagen, the selected applicant should expect some travel activity. The Danish School of Education (DPU) is committed to diversity and encourages all qualified applicants to apply regardless of their personal background. Research context In the project Hybrid text practices in the Danish L1 classroom. Polyphony, coherence and involvement when writing with generative AI, we explore a potentially new broad form of hybrid human–AI writing that also involves navigating artificially generated text. Through a qualitative text and classroom design, we examine writing with generative AI tools in Danish L1 classrooms in Year 7 and 8 from dialogical, sociocultural and social semiotic perspectives. We focus on students’ observable writing processes in terms of strategies and interactions, their texts, and their explicit reflections on these processes and their writing choices. We are particularly interested in how generative AI contributes to or challenges students' involvement in writing, and how it affects the way they orchestrate multiple voices and create coherence in texts – all of which are pivotal for literacy learning. Besides much-needed empirical insights, we expect to enrich the theoretical concepts of polyphony, coherence, and involvement with new dimensions. Postdoctoral position The selected applicant will work in close collaboration with PI Kristine Kabel and the rest of the research team throughout the employment period, including planning and conducting fieldwork, analysing data, disseminating, and arranging advisory board meetings. The two main tasks will be to conduct and write a literature review to identify existing knowledge about lower secondary students' writing processes, texts, and reflections on writerly choices in non-GAI practices, and to carry out a specific work package in the project in collaboration with the entire research team. In this work package, we seek to explore what characterises Year 7 and 8 students’ observable writing strategies and interactions when participating in hybrid text practices with generative AI tools. As part of this work package, the postdoctoral researcher will be expected to conduct fieldwork in three classrooms in collaboration with the researchers in the team, in spring 2026, and autumn/winter 2026-27, and participate in analytical activities and the writing of one article, also as part of a collaborative effort. Teaching and supervision As a postdoctoral researcher, your position is primarily research-based but will also involve a limited amount of teaching and supervision. To that end, the successful applicant will be expected to participate in the department’s teaching and supervision activities and teach and supervise at MA levels and above at the Department of Department of Educational Theory and Curriculum Studies, Educational Philosophy, and General Education. Any teaching activities is agreed upon with the head of the Department. Qualifications Applicants must have a PhD degree in a field related to writing and/or literacy in the context of the subject Danish at the secondary school level. As part of the application, applicants are asked to describe how their previous research experience and qualifications are of relevance for the position and the stated research context and framework of the research project. Furthermore, applicants must be able to document relevant to the position: an internationally oriented research profile within writing and/or literacy research as documented by a PhD dissertation and/or research publications interest and experience in research collaborations solid experience in planning and conducting qualitative fieldwork in classroom or equivalent settings excellent communication skills required to engage productively both within the research team and with teachers, students, and other external collaborators given the nature of the project’ s empirical work, applicants must be fluent (or almost fluent) in Danish. Furthermore, applicants should master spoken and written English at an advanced academic level. The application should not exceed 1-2 pages. Additionally, a short CV and a list of publications as well as a short documentation of teaching experiences of relevance for the position should be included. Please note that although the application process can be completed on the Aarhus University system without uploading publications, applications that do not include uploaded publications (maximum two) will not be considered. Although the Aarhus University application system includes an option to upload letters of recommendation, please do not include letters of recommendation or references with the application. Applicants who are invited to an interview may be asked to provide references. Work environment Active participation in the daily life of the department is a high priority, and we emphasise the importance of good working relationships, both among colleagues and with our students. In order to maintain and develop the department’s excellent teaching and research environment, the selected applicant is expected to be present at the department at a daily, or at least weekly, basis, and to attend for example meetings in the Danish L1 research unit. For further information about the position, please contact the PI, associate professor Kristine Kabel, email: kabel@edu.au.dk, tel.: + 45 61407646. Read about the Department of Educational Theory and Curriculum Studies, Educational Philosophy, and General Education, link. The application must be submitted in English. About the Danish School of Education The Danish School of Education at Aarhus University is Denmark’s largest centre for research and teaching in the fields of education, didactics and learning, with approximately 240 full-time researchers, including 80 PhD students, and 4,500 Bachelor’s and Master’s degree students. The school’s activities are characterised by a high degree of interdisciplinarity and close interaction with society, including businesses, organisations, government agencies and institutions, both in Denmark and abroad. International applicants International applicants are encouraged to read about family and work-life balance as well as the attractive working conditions and other benefits of working at Aarhus University and in Denmark, including healthcare, paid holidays and, if relevant, maternity/paternity leave, childcare and schooling. Aarhus University offers a broad variety of services for international researchers and accompanying families, including a relocation service and career counselling for expat partners. For information about taxation, see the taxation aspects of international researchers’ employment by AU. Please find more information about entering and working in Denmark here: http://international.au.dk/research/ The applicant must be able to teach and publish in English. The applicant will be expected to contribute actively to the department’s academic environment. We emphasise the importance of good working relationships, both among colleagues and with our students. Qualification requirements Applicants should hold a PhD or equivalent academic qualifications. Formalities The Faculty of Arts refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities (the Appointment Order). Appointments 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. Further information on the application and supplementary materials may be found in Application Guidelines. The application must outline the applicant's motivation for applying for the position, attaching a curriculum vitae, a teaching portfolio, a complete list of published works, copies of degree certificates and examples of academic production (mandatory, but no more than two examples). Please upload this material electronically along with your application. Aarhus University also offers a junior researcher development programme targeted at career development for postdocs at AU. If nothing else is noted, applications must be submitted in English. The application deadline is at 11.59 pm Danish time (same as Central European Time) on the deadline day. 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. Shortlists may be prepared with the candidates that have been selected for a detailed academic assessment. A committee set up by the head of school is responsible for selecting the most qualified candidates. See this link for further information about shortlisting at the Faculty of Arts: shortlisting Faculty of Arts The Faculty of Arts is one of five main academic areas at Aarhus University. The faculty contributes to Aarhus University's research, talent development, knowledge exchange and degree programmes. With its 700 academic staff members, 200 PhD students, 9,000 BA and MA students, and 1,500 students following continuing/further education programmes, the faculty constitutes a strong and diverse research and teaching environment. The Faculty of Arts consists of the School of Communication and Culture, the School of Culture and Society and the Danish School of Education. Each of these units has strong academic environments and forms the basis for interdisciplinary research and education. The faculty's academic environments and degree programmes engage in international collaboration and share the common goal of contributing to the development of knowledge, welfare and culture in interaction with society. The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.
MathHire.org
**Postdoctoral Positions in Mathematics** The Department of Mathematics at Aarhus University, Denmark (a top 100 university), is seeking exceptional early-career researchers for multiple one to two year postdoctoral positions in various areas of Mathematics. Positions commence January 1st, 2026. **Available Research Areas:** - Operator Algebras - Machine Learning - Analytic Number Theory - Automorphic Forms and Representation Theory - Additional areas may be added before the application deadline **Key Responsibilities:** - Excel in individual and collaborative research - Assist bachelor's student groups with coursework OR co-teach advanced courses relevant to your research area **What We Offer:** - Positive, international work environment with flat hierarchy - Competitive salary: DKK 36,600-40,780 (€4,902-5,462) monthly - Pension contribution: DKK 6,623-7,369 (€887-987) monthly - Universal health insurance for residents and family members - Junior Researcher Development Programme - Comprehensive support services for international researchers and families - Career development programs and counseling **Application Requirements:** - Submit application in English - Include: CV, degree certificate, complete publication list, future research statement, research activities summary, teaching portfolio, and verified teaching experience (if applicable) - Upload up to ten key publications - Arrange for reference letters through designated contacts **Application Process:** The department employs a shortlisting process. After the deadline, selected candidates will be evaluated by an expert assessment committee. All applicants will be notified of their status and given opportunity to comment on their assessment. **About Aarhus University:** Aarhus University is a research-intensive institution committed to high-quality education and societal development. With 38,000 students and 8,300 employees, the university fosters an inspiring academic environment. We champion equality and diversity, welcoming all applicants and providing opportunities for professional growth. The Faculty of Natural Sciences emphasizes career development support, competency building, and transparent advancement opportunities for scientific staff. **Location:** Department of Mathematics, Faculty of Natural Sciences, Ny Munkegade 118, 8000 Aarhus C **Application Deadline:** October 10, 2025 Applications must be submitted through Aarhus University's recruitment system.