Postdoctoral Research Associate in Scientific Machine Learning for Computational Modeling

**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.