Phd Position Machine Learning for Engineering - Gent, België - IMEC Inc.

IMEC Inc.

Geverifieerd bedrijf

Gent, België

2 weken geleden

Geplaatst door:

Sophie Dubois

beBee Recruiter

Beschrijving

PhD position Machine Learning for engineering (ML4ENG)- PhD - Gent Zwijnaarde | Just now- 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.- IDLab, Ghent University - imec, BelgiumIDLab 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).

What we do for you

Type of contract: Phd Scholarship (Fulltime)
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 stateoftheart.
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?

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