PhD position Machine Learning for engineering (ML4ENG)

iMEC
April 01, 2023
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IDLab, Ghent University - imec, Belgium

IDLab is a core research group of imec, a world-leading research and innovation hub in nanoelectronics and digital technologies, with research activities at Ghent University. IDLab performs fundamental and applied research on data science and internet technology, and is, with over 300 researchers, one of the larger research groups at imec. Our major research areas are machine learning and data mining; semantic intelligence; multimedia processing; distributed intelligence for IoT; cloud and big data infrastructures; wireless and fixed networking; electromagnetics, RF and high- speed circuits and systems.

What will you do

The activities of the PhD position are embedded in this stimulating environment with a focus on data-efficient machine learning (or surrogate modeling) techniques to solve complex and challenging engineering problems with use cases from various engineering disciplines such as electrical and mechanical engineering. In particular, the goal of the Ph.D. research is to design tools and techniques to improve key parts of the engineering design pipeline, aiding designers in several computer-aided design (CAD; design and analysis of computer experiments) activities such as uncertainty quantification, calibration, sensitivity analysis, design space exploration, and optimization, etc. Machine learning algorithms such as Gaussian Processes and Bayesian optimization will be used to create a modern design flow, e.g., for the efficient design of electromagnetic and electronics circuits. This includes techniques for physics-informed modeling, generative design, preference-based learning, explainable engineering design, spatiotemporal modeling, free-form topology and shape optimization, efficient data collection, labeling, etc. The proposed Ph.D. research is defined within the context of several national and international research projects on automation in machine learning (AutoML).

For more information on the research see https: // sumo.intec.ugent.be/home

What we do for you

We offer the opportunity to do full-time research in an international (with over 17 nationalities at IDLab, part of imec and Ghent University) and friendly working environment, with a competitive salary at Ghent University. While grounded in fundamental academic research, as a Ph.D. candidate you will also participate in collaborative research with industrial and/or academic partners in Flanders and/or on a wider geographic scale (e.g., EU H2020 projects), in the framework of new/ongoing projects. Furthermore, you will publish your research results at major international conferences and in journal papers, as part of meeting the requirements for your Ph.D.

  • Type of contract: Phd Scholarship (Full-time)
  • Employment: 4 years, with an intermediate evaluation the first year (1+3 years)
  • Who you are

    We are looking for highly creative and motivated Ph.D. students with the following qualifications and skills.

  • You have (or will obtain in the next months) a master's degree in Computer Science, Mathematics, Informatics, Engineering, or equivalent, with excellent ('honors'-level) grades.
  • You have strong computer science skills (python, C++, etc.)
  • You have a strong interest in machine learning and are eager to advance the state-of-the-art.
  • Experience with machine learning algorithmic approaches or frameworks (such as PyTorch, Tensorflow, GPFlow, etc.) is considered a plus.
  • You have excellent analytical skills to interpret the obtained research results.
  • You are a team player and have strong communication skills.
  • Your English is fluent, both speaking and writing.
  • Interested?

    Send your application by email or any questions concerning this vacancy to prof. Tom Dhaene ([email protected]) and prof. Ivo Couckuyt ([email protected]), indicating “Job Application: ML4ENG” in the subject. Applications should include (1) an academic/professional resume, (2) a personal motivation letter, and (3) transcripts of study results, and (4) at least two reference contacts. After a first screening, selected candidates will be invited for an interview (also possible via Teams) as a first contact in a multi-stage selection process.

    Application deadline: starting 1/4/2023 until the vacancy is filled.

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