PhD Position in Practical Machine Learning for Biomedicine Simulations

University of Luxembourg

Esch-sur-Alzette, Luxembourg

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About the SnT

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.

We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

The Centre is rapidly expanding its research activities and is seeking highly motivated PhD candidates who wish to pursue research in close cooperation with our partners.

For further information you may check : and

PhD Position in Practical Machine Learning for Biomedicine Simulations (in joint supervision with LCSB)

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role

The successful candidates will join a strong and motivated research team led by Prof. Jacques Klein and Prof. Tegawendé F.

Bissyandé in order to carry out research to pursue a PhD on the following topic :

Integrative Data Analysis in Epilepsy

The successful candidate will also be part of an ambitious and multidisciplinary project named IDEA aiming at developing new AI-based approaches to fight epilepsy.

In this context, the candidate will also be supervised by Dr. Alexander Skupin, Professor at the LCSB center of the University of Luxembourg.

The position holder will be required to perform the following tasks :

Carrying out research in the predefined areas

Disseminating results through scientific publications

Participating in proposal drafting

Your Profile

Qualification : The candidate should possess an MSc degree or equivalent in Computer Science or Data Science.

Experience : The ideal candidate should have some knowledge and experience in a number of the following topics :

AI, machine learning, deep learning

Data Analytics

Software Engineering

and be familiar with the principles of

Explainable Machine Learning

Development skills are a plus

Language Skills : Fluent written and verbal communication skills in English are required. Knowledge of French, German or Luxembourgish is desirable.

Here’s what awaits you at SnT

A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance

Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better

The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners

Multiple funding sources for your ideas . The University supports researchers to acquire funding from national, European and private sources

Competitive salary package . The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating

Be part of a multicultural family . At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more

But wait, there’s more!

Complete picture of the perks we offer

Discover our Partnership Programme

Download the brochure : Why choose SnT for your PhD?

Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.

In Short

Contract Type : Fixed Term Contract 36 Month - extendable up to 48 months if required

Work Hours : Full Time 40.0 Hours per Week

Location : Kirchberg

Internal Title : Doctoral Researcher

Employee and student status

Job Reference : UOL04016

Further Information

Applications should be submitted online and include :

Full CV, including list of publications and name (and email address, etc) of three referees

Transcript of all modules and results from university-level courses taken

Short motivation letter

All qualified individuals are encouraged

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