Postdoc Positions in Model Discovery: Aarhus University is inviting applications for two 1-year postdoc positions in the Department of Mechanical and Production Engineering, focusing on developing novel algorithms at the intersection of computational physics and machine learning.
Postdoc Positions in Scientific Machine Learning for Model Discovery
Designation:
Postdoc Position (2 positions available)
| Details | Information |
|---|---|
| Research Area | Scientific Machine Learning for Physical Simulation |
| Location | Department of Mechanical and Production Engineering, Aarhus University, Denmark |
| Expected Start Date | 1 May 2026 (or as soon as possible) |
| Employment Duration | 1-year fixed term, with the possibility of extension |
| Salary Range | Based on seniority as per Danish collective labor agreements |
Eligibility/Qualification:
- PhD in Computer Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering, or similar.
- Strong background in machine learning/data science.
- Deep knowledge of neural network architectures (e.g., PINNs, neural operators, transformers).
- Proficiency in Python (C++ or Julia is a plus).
- Familiarity with scientific computing libraries (e.g., NumPy, SciPy, JAX) and machine learning libraries (e.g., scikit-learn, PyTorch).
- Flexibility to adapt to different application fields.
- Independence, strong time management, professionalism, and commitment to research quality.
Job Description:
- Contribute to the ERC-funded project “ALPS – AI-based Learning for Physical Simulation.”
- Develop and implement algorithms for the data-driven discovery of physical models.
- Apply algorithms to various fields, including robotic control, mechanics of materials, fluid mechanics, and biological systems, in collaboration with researchers and industry partners.
- Work within the Computational Physics and Machine Learning Lab led by Prof. Alessandro Lucantonio.
How to Apply:
- The application must include:
- Curriculum vitae
- Degree certificate
- Complete list of publications
- Statement of future research plans
- Teaching portfolio (if applicable)
- Verified information on previous teaching experience
- Applications should be submitted via Aarhus University’s recruitment system, accessible through the job advertisement on the university’s website.
Last Date for Apply:
31 January 2026, 23:59 CET
Contact Information:
For more details, please reach out to:
- Prof. Alessandro Lucantonio
Phone: +45 93517776
Email: a.lucantonio@mpe.au.dk - Human Resources
Phone: +45 93522463
Email: nat-tech.HR.team2@au.dk
Aarhus University fosters a culture of equality and diversity and welcomes all applicants.
