PostDoc Researcher Medical Image Registration
Sunday 4th December 2022
Organization University of Lübeck
Location Lübeck, Germany
Title PostDoc Researcher Medical Image Registration
URL https://www.uni-luebeck.de/fileadmin/uzl_personal/stellenausschreibungen/1098_22_PostDoc-WissMA_IMI_Englisch.pdf
Email Address mattias.heinrich@uni-luebeck.de
Description PostDoc researcher in the research field of Medical Deep Learning with a fixed-term full-time employment (38.7 h/week). Initially fixed-term for 15 months; an extension for a further 12 months is possible within another approved DFG project. The project is funded by the BMBF project OncoReg (project partner: University Clinic Schleswig-Holstein, Lübeck) and supported with Nvidia hardware within the research group of Prof. Mattias Heinrich, which has pioneered new methodological developments in the field of medical image analysis and machine learning. Apply to bewerbung@uni-luebeck.de by 15.12.2022.
The OncoReg project offers the opportunity to develop novel methods for privacy-preserving image registration and to evaluate the state of the art in the context of a MICCAI Challenge Workshop (Learn2Reg 2023). Seven other ongoing research projects in the group offer an excellent exchange with other researchers, which could also significantly support a candidates' cumulative habilitation.
Responsibilities / Qualifications
• Active contribution to the BMBF project OncoReg incl. communication with project partners
• Presentation and publication of results at international conferences and in high-ranking journals in the field of Medical Deep Learning
• Co-organisation and evaluation of a MICCAI Challenge (Vancouver 2023)
• Support in the supervision of student theses (BSc, MSc, PhD)
• A PhD degree in computer science, mathematics, engineering or related
• Prior experience in either medical imaging, computer vision or machine learning, as evident e.g. from at least one publication in either TMI, MedIA, MICCAI, MIDL, CVPR, etc.
• Proficiency in python programming for deep learning (pytorch) or willingness to learn quickly
• Willingness to perform cutting-edge research and advance state-of-the-art methods in medical diagnosis, treatment and healthcare
We offer the opportunity to conduct cutting-edge research and advance the state of the art, thereby contributing to improved medical diagnosis, treatment and healthcare. In addition, successful candidates will assist in the establishment of new research directions and have the opportunity to communicate these at international conferences and in scientific journals. We offer an inspiring working, an operational pension scheme, flexible working hours, mobile/remote working, compatibility of family and work and a research environment in a dynamic and growing research group with clinical, industrial and academic cooperation partners in a city with a high quality of life (close to the Baltic Sea).
The final job classification within TV-L is subject to conditions of German Public service regulations (approx. 59'000-65'000€ salary per year).
The University of Lübeck sees itself as a modern and cosmopolitan employer. We welcome your application regardless of your age, gender, cultural and social background, religion, belief, disability or sexual identity. We promote gender equality. Priority will be given to women who have equal aptitude, competence and professional performance. As an applicant with severe disabilities or a person of equal status, we will give you preferential consideration if you are appropriately qualified.
Applications with all relevant materials (cover letter with research interest, curriculum vitae, certificates, list of publications and the contact details of at least one reference (e.g. PhD supervisor), must be received no later than 15.12.2022 as a single PDF file to bewerbung@uni-luebeck.de,