PhD in AI/Machine Learning for Medical Image Computing

Updated: 2 months ago
Job Type: FullTime
Deadline: 19 Mar 2024

21 Feb 2024
Job Information
Organisation/Company

University of Luxembourg
Research Field

Computer science » Other
Researcher Profile

First Stage Researcher (R1)
Country

Luxembourg
Application Deadline

19 Mar 2024 - 11:21 (UTC)
Type of Contract

Temporary
Job Status

Full-time
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

About us...

The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors.

The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary and together we contribute to science and society.

Your Role...

The junior group in Imaging AI develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating bleeding edge algorithms from fundamental AI and imaging research closer to a concrete biomedical application.

We are looking for highly motivated candidates who share our passion for research, are interested in acquiring new skills and wish to be part of an international and multi-interdisciplinary team. The specific project is a close collaboration with the Dept. of Behavioural and Cognitive Sciences and revolves around multi-modal data fusing / joint embedding architectures for imaging and cognitive markers, in particular for pain assessment.

In our team, we follow a leadership concept of promoting independent work and autonomous collaboration of team members towards common goals. We expect doctoral candidates to actively contribute with their diverse experiences to the projects of their peers, in order to move forward together. In return, we offer individual mentorship, an always open door and support external trainings and personal development efforts tailored to the individual needs of candidates.

What we expect from you…

  • Master's degree in computer science or related discipline
  • Strong interest in applied machine learning, including but not limited to deep learning
  • Strong interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications, in particular for neuroscience
  • Experience utilising GPU enabled High-Performance Computing environments is an asset
  • Experience with recent deep learning frameworks (e.g. Pytorch, MONAI) and programming languages (Python, MATLAB) are an advantage
  • Open minded critical thinker, willing to actively contribute to the further development of a multi-cultural and multi-disciplinary research team
  • Very strong organisational and analytical skills

Here's what awaits you at the LCSB...

  • Excellent work environment with state-of-the-art infrastructure, laboratory and administrative support
  • Truly connected. We work together with hospitals and research institutes on a national and international level as well as industrial partners. Connection between science and society is very important to us. From our school lab - the Scienteens Lab - to the different outreach activities and collaborative partnerships with patient associations, we love to listen to society's needs and share our passion for science
  • Be part of a multicultural team. At the LCSB we have more than 50 nationalities. Throughout the year, we organise team-building events, networking activities and more

Find out more about us!

How to apply...

Applications should be submitted online and include:

  • A motivation letter that justifies your interest in our specific field
  • A detailed curriculum vitae, copy of master's diploma (if already available), copy of transcript of records
  • Confidential reference letters directly provided by the referees via e-mail () ASAP after submitting the application are welcome

Early application is highly encouraged, as the applications will be processed upon reception. Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

General information:

  • Contract type: Fixed Term Contract 36 Month (extendable up to 48 months if required)
  • Start date: June 2024
  • Work hours: Full Time 40.0 Hours per Week
  • Employee and student status
  • Location: Belval
  • Job reference: UOL06275

The yearly gross salary for every PhD at the UL is EUR 40952 (full time)


Requirements
Additional Information
Work Location(s)

Number of offers available
1
Company/Institute
University of Luxembourg
Country
Luxembourg
City
Luxembourg
Geofield


Where to apply
Website

https://www.aplitrak.com/?adid=UmVjcnVpdGluZy4xMTcyNC45OTA4QHVuaXZlcnNpdHlvZmx1…

Contact
Phone


STATUS: EXPIRED

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