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Country: Luxembourg
Deadline: Not specified
Fields: Computer Science, Artificial Intelligence, Biomedical Engineering, Data Science, Biomedical Imaging
Are you passionate about harnessing artificial intelligence to revolutionize biomedical imaging and contribute to the understanding and treatment of neurodegenerative diseases? If you are eager to apply your computational skills to real-world medical challenges and make a tangible impact in interdisciplinary research, the University of Luxembourg’s doctoral position in AI and Machine Learning for Biomedical Imaging could be the perfect next step in your academic journey.
About The University Or Research Institute
Situated in the heart of Europe, the University of Luxembourg is a renowned international research university known for its multilingual and interdisciplinary approach to education and innovation. Established in 2003, it has quickly gained recognition for its cutting-edge research, modern infrastructure, and vibrant academic community. The university’s unique location in Luxembourg, a global financial and technological hub, enables close collaborations with industry, governmental institutions, and European organizations.
The Luxembourg Centre for Systems Biomedicine (LCSB), a key interdisciplinary research center within the university, is dedicated to advancing the field of systems biology and biomedicine. LCSB is particularly focused on neurodegenerative diseases such as Alzheimer’s and Parkinson’s, bringing together experts from more than 50 countries in fields ranging from computer science and engineering to biology and medicine. The university’s Belval Campus offers a dynamic urban setting with state-of-the-art facilities, fostering innovation and collaboration among researchers and students from around the globe.
Research Topic and Significance
This doctoral position is centered on the application of artificial intelligence and machine learning to biomedical imaging, with a special emphasis on neurodegenerative diseases. The research group specializes in developing advanced AI methodologies for image segmentation, detection, classification, predictive modeling, and image enhancement. The goal is to translate and enhance cutting-edge AI algorithms into practical solutions for biomedical imaging challenges, ultimately contributing to improved diagnostics, understanding, and treatment of diseases such as Alzheimer’s and Parkinson’s.
Also See
- Luxembourg – PhD in AI & Machine Learning for Biomedical Imaging at University of Luxembourg
- Europe – Postdoctoral Researcher in Transport Modelling at University of Luxembourg
- Switzerland – PhD in Robotic AI Imaging at University of Zurich
- USA – PhD in Human-Computer Interaction at University of Maine
- USA – PhD in Machine Learning & AI at University of Illinois Urbana-Champaign
Project Details
The Junior Research Group in AI in Biomedical Imaging at the Luxembourg Centre for Systems Biomedicine (LCSB) is dedicated to applied AI research in biomedical image computing. The group’s work encompasses the development of state-of-the-art methods for image segmentation, detection, classification, predictive modeling, and image enhancement. The current focus is on translating and enhancing cutting-edge algorithms from AI research into concrete applications in biomedical imaging, with an emphasis on neurodegenerative diseases.
The successful candidate will become part of an interdisciplinary team working at the intersection of computer science, artificial intelligence, and biomedical research. The position is based at the Belval Campus, offering a rich environment for collaboration and innovation. The contract is for a fixed term of 36 months, with a full-time workload of 40 hours per week. The annual gross salary for PhD researchers at the University of Luxembourg is EUR 41,976.
Candidate Profile
The ideal applicant for this doctoral position will possess the following qualifications and attributes:
– A Master’s degree in computer science or a closely related discipline.
– Experience with Python and modern deep learning frameworks such as PyTorch and MONAI.
– A strong interest in image analysis, computer vision, and pattern recognition, particularly as they apply to biomedical contexts.
– A keen enthusiasm for applied machine learning, including deep learning techniques.
– Experience with GPU-enabled high-performance computing environments is considered an asset.
– An open-minded and critical thinker, eager to contribute to the development of a multicultural and multidisciplinary research team.
– Excellent organizational and analytical skills.
– A high level of enthusiasm and commitment to research.
– Language requirement: Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission – Doctoral Candidates on the university website.
The University of Luxembourg values diversity and inclusivity and encourages applications from individuals of all backgrounds.
Application Process
To apply for this position, applicants should prepare and submit the following documents:
– Curriculum Vitae (CV)
– Cover letter outlining your motivation for pursuing this doctoral thesis topic and explaining how your qualifications and aspirations align with the academic focus of the project
– Transcript of all university-level courses and results
All qualified individuals are encouraged to apply. The University of Luxembourg is committed to fostering an inclusive culture and upholding equality and respect for all employees and students.
For more information and to submit your application, please refer to the official advertisement at:
https://recruitment.uni.lu/en/details.html?nPostingId=112080&nPostingTargetId=159099&id=QMUFK026203F3VBQB7V7VV4S8&LG=UK&languageSelect=UK&sType=Social%20Recruiting&mask=karriereseiten
Conclusion
If you are driven to make a difference in the field of biomedical imaging through artificial intelligence and machine learning, this doctoral position at the University of Luxembourg offers a unique and rewarding opportunity. You will join a vibrant, international research community, benefit from excellent facilities and support, and contribute to impactful research at the interface of technology and medicine. Don’t miss your chance to advance your academic career and help shape the future of healthcare—apply today and explore more opportunities like this below.
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