Research Associate / Wissenschaftliche*r Mitarbeiter*in at the Institute of Medical Technology [...]

Technische Universität Hamburg; Hamburg; Vor Ort; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

Eine führende deutsche Universität in Hamburg sucht einen Forschungsmitarbeiter (m/w/d) zur Entwicklung von AI-basierten Systemen für die Robotik. Die Stelle erfordert sehr gute Programmierkenntnisse in Python und C++, sowie eine abgeschlossene wissenschaftliche Ausbildung in Informatik oder verwandten Bereichen. Zusätzlich wird ein Interesse an der Promotion erwartet. Vollzeitstelle über einen Zeitraum von bis zu drei Jahren.

Leistungen

Vollvergütete Forschungsstelle (100% TV-L E13)

Möglichkeit zur Promotion

Interdisziplinäres Team

Entwicklung leistungsfähiger AI-Methoden

Qualifikationen

• Abgeschlossenes Studium in Informatik oder verwandten Bereichen.
• Ausgezeichnete Programmierkenntnisse in Python und C++.
• Sehr gute Kenntnisse in aktuellen Methoden des maschinellen Lernens.

Aufgaben

• Entwicklung und Evaluierung von Deep-Learning-Methoden zur Bildverarbeitung.
• Implementierung von Schnittstellen zu Robotern und 3D-Visualisierungen.
• Zusammenarbeit mit klinischen Partnern.

Kenntnisse

Programmieren (Python)

Programmieren (C++)

Maschinelles Lernen

Medizinische Bildverarbeitung

Robotertechnik

Englisch (C1)

Ausbildung

Abgeschlossenes wissenschaftliches Studium in Informatik, Ingenieurwesen, Angewandte Mathematik oder verwandten Bereichen

Jobbeschreibung

Research Associate

(m/f/d) /

Wissenschaftlicher Mitarbeiterin (m/w/d)

InstituteInstitute of

Medical Technology and Intelligent Systems

RemunerationEG 13 TV-L

ID: 21525WE1

Start of employment October 1st 2025

Application deadline August 8th 2025

Scope full time and for a maximum of three 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 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 TASKS

• Developing and evaluating deep learning methods for image processing, particularly to identify tissue and instrument motion
• Implementing interfaces to a robot and a 3D visualization environment, navigating the surgeons to the target
• Collaborating with different partners, including at a clinics, supporting the the pre-clinical evaluation of the system
• Systematic experimental evaluations, including on realistic data
• Presentation of your results at top-tier international conferences and publication in high-ranking journals
  
  

YOUR PROFILE

Requirements

• Completed scientific university studies, in particular in the subject Computer Science, Engineering, Applied Math or related fields
  
  

Required Knowledge And Personal Skills

• Very good programming skills, particularly in Python and C++
• Excellent knowledge of recent machine learning methods and frameworks
• Very good understanding of medical imaging and image processing as well as robotics
• Excellent English language and scientific writing skills are required (at least C1 GeR), German is a plus
  
  

OUR OFFER

• a fully paid research position (100% TV-L E13)
• In addition to the project duties we offer the opportunity to obtain a PhD
• You will be part of an interdisciplinary team and 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. Alexander Schlaefer, Tel.-Nr.

[phone]

, Email: [e-mail]

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 opportunities

as 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).

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