PhD position Surrogate modeling and Machine Learning for science and engineering

OPPORTUNITY DETAILS

State University

Ghent University

Area

Western Europe

Host Country

Belgium

Deadline

31 Jul 2024

Study level

Doctoral Degree

Opportunity type

PhD

Specialities

Engineering

Opportunity funding

Full funding

Eligible Countries

This opportunity is destined for all countries

Eligible Region

All Regions

18 Nov 2023
Job Information

Organisation/Company: Ghent University
Research Field: Mathematics » Computational mathematics
Computer science » Other
Engineering » Other
Computer science » Programming
Researcher Profile: First Stage Researcher (R1)
Country: Belgium
Application Deadline: 31 Jul 2024 - 21:59 (UTC)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 38
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?: No

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 https://sumo.intec.ugent.be/home

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

Interested?
Send your application by email to Prof. Tom Dhaene (tom.dhaene@UGent.be ) and Prof. Ivo Couckuyt (ivo.couckuyt@ugent.be ), 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

Requirements