PhD position Surrogate modeling and Machine Learning for science and engineering

PhD position Surrogate modeling and Machine Learning for science and engineering

Bélgica 31 jul. 2024
Ghent University

Ghent University

Universidad Estatal, Examinar oportunidades similares


Universidad Estatal
País anfitrión
Fecha límite
31 jul. 2024
Nivel de estudio
Tipo de oportunidad
Oportunidad de financiación
Financiación completa
Países elegibles
Esta oportunidad está destinada a todos los países
Región elegible
Todas las regiones

18 Nov 2023
Job Information

Ghent University
Research Field

Mathematics » Computational mathematics
Computer science » Other
Engineering » Other
Computer science » Programming
Researcher Profile

First Stage Researcher (R1)

Application Deadline

31 Jul 2024 - 21:59 (UTC)
Type of Contract

Job Status

Hours Per Week

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

Last application date Jul 31, 2024 00:00

Department TW05 - Department of Information Technology

Contract Limited duration

Degree Master’s degree in Computer Science, Mathematics, Engineering, or equivalent

Occupancy rate 100%

Vacancy type Research staff

Job description

PhD position Surrogate modeling and Machine Learning for science and engineering

IDLab - imec, Ghent University, 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.
Job description
The activities of the Ph.D. position are embedded in this stimulating environment with a focus on data-efficient machine learning (or surrogate modeling) techniques to solve complex problems in science and engineering. The proposed Ph.D. research is defined within the context of several national and international research projects on Automation in Machine Learning (AutoML).
As a Ph.D. candidate, you will extend and use machine learning algorithms such as generative models, neural networks, Gaussian Processes, Bayesian optimization, and more to solve challenging problems in science and engineering. You will take part in the daily operation of the research group and participate in collaborative research with industrial and academic partners. 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.
For more information see

Job profile

Your profile
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 (European) master’s degree in Computer Science, Mathematics, Engineering, or equivalent, with excellent ('honors'-level) grades.
  • You have a strong background in machine learning and are eager to advance the state-of-the-art.
  • You have excellent computer science skills (python, git, etc.)
  • Experience with machine learning frameworks such as PyTorch or Tensorflow is considered a plus.
  • You have 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.

Our offer

  • We offer the opportunity to do full-time research in an international (with over 17 nationalities at IDLab - imec) and a friendly working environment, with a competitive salary.
  • Type of contract: Phd Scholarship (Full-time)
  • Employment: 4 years, with an intermediate evaluation the first year (1+3 years)

How to apply

Send your application by email to Prof. Tom Dhaene ( ) and Prof. Ivo Couckuyt ( ), indicating “Job Application: ML4ENG” in the subject. Applications should include (1) an academic/professional resume, (2) transcripts of study results, and (3) at least two reference contacts. After a first screening, selected candidates will be invited for an interview (also possible via Teams).
Application deadline: continuous evaluation until the vacancy is filled

Research Field
Years of Research Experience
1 - 4

Research Field
Computer science
Years of Research Experience
1 - 4

Research Field
Years of Research Experience
1 - 4

Research Field
Computer science
Years of Research Experience
1 - 4

Additional Information
Website for additional job details

Work Location(s)
Number of offers available
Ghent University
Postal Code
Sint-Pietersnieuwstraat 33

Where to apply


Postal Code



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