Research Associate(m/f/d) /Wissenschaftlicher Mitarbeiterin (m/w/d)InstituteInstitute ofMedical Technology and Intelligent SystemsRemunerationEG 13 TV-LID: 26025WE1Start of employment as soon as possibleApplication deadline October 2nd 2025Scope full time and for a maximum of three yearsOur institute has a long standing track record developing AI methods for medicine. We are particularly interested in machine learning, medical robotics and navigation, image guidedance, and treatment planning.In a project with clinical partners we are developing an AI based system for guiding robotic surgery. The focus will be on deep learning methods for image processing and tumor localization using robotic instruments. We will develop a prototypical software for 3D visualization of the surgical scene. The project has a research context and we expect candidates to be interested in obtaining a PhD.YOUR TASKSDeveloping and evaluating deep learning methods for image processing, particularly to identify tissue and instrument motionImplementing interfaces to a robot and a 3D visualization environment, navigating the surgeons to the targetCollaborating with different partners, including at a clinics, supporting the the pre-clinical evaluation of the systemSystematic experimental evaluations, including on realistic dataPresentation of your results at top-tier international conferences and publication in high-ranking journalsYOUR PROFILERequirementsCompleted scientific university studies, in particular in the subject Computer Science or related fieldsRequired knowledge and personal skillsVery good programming skills, particularly in Python and C++Excellent knowledge of recent machine learning methods and frameworksVery good understanding of medical imaging and image processing as well as roboticsExcellent English language and scientific writing skills are required (at least C1 GeR), German is a plusOUR OFFERa fully paid research position (100% TV-L E13)In addition to the project duties we offer the opportunity to obtain a PhDYou will be part of an interdisciplinary team and collaborate with academic and clinical partnersYou will work on state of the art AI methods with a meaningful purposeWe provide room to grow and to implement your ideasAt the heart of TU Hamburg's research, teaching and transfer of technology is the guiding principle of developing technology for people. The TU Hamburg sees itself in this context as a family-friendly and sustainable university with high performance and quality standards that strives for excellence in all its research fields. Interdisciplinarity, innovation, regionality and internationality are binding principles in our actions. With currently around 8.000 students, 110 professors and 1.650 employees, the TU Hamburg is characterised by short decision-making processes and close cooperation between the board, the institutes, the deans of studies, the research areas and the administration. We identify ourselves with a modern leadership culture and cultivate appreciative interaction.For further information please contact Prof. Dr.-Ing. Alexander Schlaefer, Tel.-Nr., Email: We value diversity, therefore all applications are welcome, regardless of gender, gender identity, ethnic origin, nationality, age, religion and belief, disability, sexual orientation and identity or social background.The TUHH stands for equal opportunitiesas well as appreciative and respectful cooperation.Please send your complete application documents (cover letter, curriculum vitae in table form, proof ofcompleted training and/or university degree, job references or certificates of employment) via the online application system.Notice for severely disabled persons and people with equal status.Notice for graduates of foreign educational qualifications:Please submit proof of all obtained university degrees and, if available, the recognition of your educational qualifications in Germany (e.g. anabin excerpts and/or acknowledgement of previous employers).Seite drucken