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

Research Associate (m/f/d)

Institute of Medical Technology and Intelligent Systems

Remuneration EG 13, TV‑L

ID: 10926WE1

Start of employment:

Application deadline:

Scope: full time, fixed‑term employment for 3 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 research project with clinical partners we are developing an AI‑based system for multi‑modal localization and classification of laryngeal lesions using advanced endoscopic imaging and deep learning.

Your Tasks

• Developing and evaluating deep learning methods for image processing, particularly for the detection of lesions
• Implementing an AI‑based software to fuse different data and to guide physicians
• Collaborating with clinical partners, supporting data acquisition and evaluation in the clinics
• Systematic experimental evaluations, e.g., on real patient 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 area computer science or related fields

Desired 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, image processing, and human‑computer interaction
• Excellent English language and scientific writing skills are required (at least C1), German is a plus

Our Offer

• In addition to the project duties we offer the supervision and support 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

Equal Opportunities

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 TU Hamburg stands for equal opportunities as well as appreciative and respectful cooperation.

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).