PostDoc in Thermodynamic-Inspired Machine Learning

Functieomschrijving

Position Overview

The NanoComputing Research Lab in Integrated Circuits (IC) group within the Department of Electrical Engineering of the Eindhoven University of Technology (TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently seeking a highly motivated PhD student to join our team to work to focus on the intersection of machine learning and physics to develop concepts for thermodynamic-based computing using coupled oscillators. The ideal candidate will have a strong background in both machine learning and physics, with a keen interest in exploring new analytical and computational paradigms using oscillatory neural networks (ONNs).

Project

The successful candidate will be an integral part of the prestigious ERC Consolidator Grant, THERMODON on harnessing the unique capabilities of ONNs to solve combinatorial optimization problems. ONNs, inspired by the dynamics of coupled oscillators, exhibit inherent properties that enable efficient problem-solving through energy minimization. In this project, we aim to further explore and exploit the potential of ONNs in embedding graph-based problems, particularly those known to be challenging for classical computing architectures.

Candidate

We are seeking a highly motivated junior PostDoc candidate to join our research team in the field thermodynamic-inspired computing combining principles from statistical physics, machine learning and computational techniques. The ideal candidate will have a strong background in statistical physics, non-equilibrium thermodynamics and machine learning.

Knowledge of complex dynamical systems and mathematical methods for characterizing their physical properties constitutes a plus. Standard methods of interest are scaling analyses of networks for their asymptotic properties, characterization through Lyapunov exponents, bifurcation theory, etc.

Duration of PostDoc is 1 year with extension possibility.

Key Responsibilities

• Develop algorithms for ONN thermodynamic-inspired computing combining techniques from statistical physics, machine learning and ONN computing with goal with the goal of designing and implementing these novel algorithms toward an accelerator for efficient thermodynamic ONN simulation on large dynamical data.
• Develop algorithms for ONN thermodynamic-inspired computing while leveraging on the self-organization of ONNs.
• Apply algorithms and benchmark complex problems in combinatorial optimization on different datasets such as scheduling, finance, weather prediction among others.
• Collaborate with a multidisciplinary team to advance the project's aim on developing accelerator hardware based on the ONN thermodynamic-inspired algorithms.
• Mentor and provide support to junior team members.

Functie-eisen

• PhD in Physics, Mathematics, Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Background and expertise in (coupled) dynamical systems, statistical physics and condensed matter, graph theory, information theory, and machine learning.
• Proficiency in Python and/or C++.
• Experience in Hopfield neural networks and energy-based models.
• Familiarity with combinatorial optimization problems, computational architectures and algorithms.
• Familiarity with Numerical Methods and/or AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Strong communication skills, both written and verbal.
• Ability to collaborate effectively in diverse teams.
• Self-motivated, proactive and leadership qualities.
• Willingness to contribute and help establish a novel interdisciplinary field.
• Additional skills: active learning, active listening, critical thinking, growth mindset, planning and organized.

Arbeidsvoorwaarden

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for 1 year with extension possibility.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. €4,060 max. €5,331).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills, didactics and topics related to research and valorization.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.

Informatie en sollicitatie

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact Prof. Aida Todri-Sanial, a.todri.sanial@tue.nl
Lab page: https://www.tue.nl/en/research/research-groups/electronic-systems/nanocomputing-research-lab.
Reference paper: https://www.nature.com/articles/s44335-024-00015-z

Visit our website for more information about the application process or the conditions of employment. You can also contact Mrs. Vivi Maas, HR advisor, v.l.maas@tue.nl

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

If you are interested in working in an exciting, dynamic, high-tech environment, where you will contribute to creating the society of the future, we invite you to submit a complete application by using the 'apply now' button on this page. 
The application should include:

• cover letter in which you describe your personal motivation and qualifications specifically for the position.
• curriculum vitae.
• copy of PhD diploma or defense.
• transcript of master and bachelor degrees.
• copies of your final PhD thesis, including English abstracts, and (if applicable) published papers (PDF files). Submit at least one document written in English of which you are the main author or add Links to read them in case if too large files.
• results of your IELTS or TOEFL test (or equivalent).
• and the contact information of two academic referees.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary, please combine files or add links to read them online.