Publisher
source

University of Luxembourg

Doctoral researcher in AI / Machine Learning Biomedical Imaging University of Luxembourg in Luxembourg

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

Luxembourg

University

University of Luxembourg

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Deep Learning
Biology
Predictive Modeling
Artificial Intelligence
Medical Technology
Systems Biology
Computer Vision
Python Programming
Neuropsychology
Medical Science
Image Classification
Neurodegenerative Disease
Semantic Segmentation
Biomedicine
Machine learning

About this position

The University of Luxembourg, a leading international research university, is offering a PhD position in AI and Machine Learning for Biomedical Imaging. The successful candidate will join the Luxembourg Centre for Systems Biomedicine (LCSB), an interdisciplinary research center renowned for its work in systems biology and biomedicine, with a particular focus on neurodegenerative diseases such as Alzheimer's and Parkinson's. The LCSB brings together scientists from diverse fields including computer science, mathematics, biology, chemistry, engineering, and physics, fostering a truly interdisciplinary environment.

The Junior Research Group in AI in Biomedical Imaging specializes in applied AI research for biomedical image computing. The group develops advanced methods for image segmentation, detection, classification, predictive modelling, and image enhancement, aiming to create trustworthy and robust AI models tailored to biomedical applications. The PhD project will focus on translating and enhancing state-of-the-art AI algorithms for concrete applications in biomedical imaging, with a current emphasis on neurodegenerative disease research.

Applicants should have a Master's degree in computer science or a related discipline, with experience in Python and deep learning frameworks such as Pytorch or MONAI. A strong interest in image analysis, computer vision, pattern recognition, and applied machine learning is essential. Experience with GPU-enabled High-Performance Computing environments is advantageous. Candidates should demonstrate strong organisational and analytical skills, enthusiasm for research, and a willingness to contribute to a multi-cultural and multi-disciplinary team. B2-level proficiency in the language of the thesis is required, with accepted certificates as specified by the university.

The University of Luxembourg offers a modern, dynamic, and international environment, with high-quality equipment and close ties to the business world and Luxembourg labour market. The PhD contract is for 36 months, full-time, with a yearly gross salary of EUR 41976. The university promotes an inclusive culture and encourages applications from individuals of all backgrounds.

To apply, candidates should submit a Curriculum Vitae, a cover letter detailing motivation and alignment with the doctoral thesis topic, and transcripts of all university-level courses. Applications are to be submitted online via the provided link. For further details on language requirements and accepted certificates, refer to the university's doctoral admissions page.

Funding details

Available

What's required

Applicants must hold a Master's degree in computer science or a related discipline. Experience with Python and recent deep learning frameworks (such as Pytorch or MONAI) is required. Strong interest in image analysis, computer vision, pattern recognition, and applied machine learning (including deep learning) is expected. Experience with GPU-enabled High-Performance Computing environments is considered an asset. Candidates should be open-minded, critical thinkers, and willing to contribute to a multi-cultural and multi-disciplinary research team. Very strong organisational and analytical skills, enthusiasm, and commitment to research are essential. Applicants must demonstrate at least B2-level proficiency in the language of their thesis, with accepted certificates as specified by the university.

How to apply

Submit your application online including your Curriculum Vitae, a cover letter explaining your motivation and alignment with the doctoral thesis topic, and transcripts of all university-level courses. Follow the application link provided to complete your submission. Ensure you meet the language proficiency requirements as specified by the university.

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