Postdoc in Thermodynamic: The Eindhoven University of Technology (TU/e) is seeking a highly motivated Postdoc researcher to join the NanoComputing Research Lab within the Department of Electrical Engineering. This position focuses on the intersection of machine learning and physics to develop novel algorithms for thermodynamic-inspired computing using coupled oscillators.
Postdoc in Thermodynamic-Inspired Machine Learning
Designation
Postdoctoral Researcher
Table
Details | Information |
---|---|
Position | Postdoc in Thermodynamic-Inspired Machine Learning |
Department | Electrical Engineering |
FTE | 1.0 |
Duration | 1 year (with extension possibility) |
Reference Number | V36.8060 |
Salary Range | €4,060 – €5,331 (scale 10, CAO Dutch Universities) |
Application Deadline | 30/03/2025 |
Research Area
Thermodynamic-inspired computing with a focus on oscillatory neural networks (ONNs) and their application in combinatorial optimization.
Location
Eindhoven University of Technology, Eindhoven, Netherlands
Eligibility/Qualification
- PhD in Physics, Mathematics, Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong background in statistical physics, non-equilibrium thermodynamics, and machine learning.
- Proficiency in Python and/or C++.
- Experience with Hopfield neural networks and energy-based models.
- Familiarity with numerical methods and AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Strong communication skills and ability to collaborate in diverse teams.
Job Description
Key Responsibilities
- Develop algorithms for ONN thermodynamic-inspired computing.
- Benchmark complex combinatorial optimization problems using different datasets.
- Collaborate with a multidisciplinary team on accelerator hardware development.
- Mentor junior team members.
Additional Skills
- Familiarity with complex dynamical systems and mathematical methods (e.g., Lyapunov exponents, bifurcation theory).
- Strong leadership qualities and ability to establish a novel interdisciplinary field.
How to Apply
Interested candidates should submit a complete application including:
- Cover letter detailing motivation and qualifications.
- Curriculum vitae.
- Copy of PhD diploma or defense.
- Transcript of master and bachelor degrees.
- Copies of final PhD thesis (including abstract) and up to two published papers.
- Results of IELTS or TOEFL test (or equivalent).
- Contact information for two academic referees.
Application materials should be submitted via the ‘apply now’ button on the TU/e job webpage.
Last Date to Apply
30/03/2025
For further inquiries, please contact:
- Prof. Aida Todri-Sanial at a.todri.sanial@tue.nl
- Mrs. Vivi Maas, HR advisor at v.l.maas@tue.nl
- Visit TU/e Lab Page for more information.