Research Associate
(m/f/d) /
Wissenschaftliche*r Mitarbeiter*in (m/w/d)

Institute
Remuneration EGR. 13
Start of employment earliest possible date
Application deadline September 9nd 2024
Scope full time and for a maximum of four years

Our 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 European partners we are developing sustainable AI methods for healthcare. One aspect will be optimal and robust treatment planning, including fo robotic interventions.

YOUR TASKS

• Developing and adapting state-of-the-art machine learning models for clinical applications
• Collaborating with partners from clinics, industry, and academia with a focus on optimization and medical, robotics
• Systematic experimental evaluations with real clinical data and in clinical settings
• Presentation of your results at top-tier international conferences and publication in high-ranking journals
• Contributing to a research center on AI in healthcare

YOUR PROFILE

Requirements

• Completed scientific university studies, in particular in the subject computer science, mechatronics, electrical engineering, or related fields

Required knowledge and personal skills

• Very good programming skills, particularly in C++ and Python
• Excellent knowledge of optimization methods and recent machine learning methods and frameworks
• Excellent English language and scientific writing skills are required, German is a plus
• Experience with medical imaging, robotics, and signal and image processing methods is a plus

OUR OFFER

• We offer the opportunity for scientific qualification with the goal to obtain a Ph D
• We offer a fully paid research position in an EU funded project with international partners
• You will be part of an interdisciplinary team and also collaborate with academic and clinical partners
• You will work on state of the art AI methods with a meaningful purpose
• We provide room to grow and to implement your ideas

At 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. 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 as well as

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 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).