MediplatzMediplatz
Universitätsklinikum Carl Gustav Carus Dresden an der Technischen Universität Dresden

Research Associate/ PhD Position (m/f/d) Else Kröner Fresenius Center for Digital Health

Universitätsklinikum Carl Gustav Carus Dresden an der Technischen Universität Dresden

📍 DresdenKliniken & KrankenhäuserVollzeit oder Teilzeit🏢 Sehr große Unternehmen (>1.000 MA)

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Details

Unternehmen
Universitätsklinikum Carl Gustav Carus Dresden an der Technischen Universität Dresden
Standort
Dresden
Bereich
Kliniken & Krankenhäuser
Vertragsart
Vollzeit oder Teilzeit
Unternehmensgröße
Sehr große Unternehmen (>1.000 MA)
Aktualisiert
16. Juni 2026

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Stellenbeschreibung

Research Associate/ PhD Position (m/f/d) Else Kröner Fresenius Center for Digital Health

Anticipated Start Date: 01.08.2026

Application End Date: 30.06.2026

Temporary Employment: 24 months

Working Hours: Full and Part Time

Requisition ID: 1768

The University Hospital Carl Gustav Carus and the Faculty of Medicine together form University Medicine Dresden. It is committed to excellence in high-performance medicine, medical research and teaching as well as healthcare services for patients in the entire region.

Together for the cutting-edge medicine of tomorrow - become part of University Medicine Dresden

Research Associate/ PhD Position (m/f/d)

at the Else Kröner Fresenius Center for Digital Health

The position is available as soon as possible, either full-time or part-time, initially limited to 24 months, with the option of extension and longer-term collaboration. Compensation is based on the applicable collective bargaining agreement and, subject to fulfillment of the personal requirements, may be classified according to pay grade E13.

The Else Kröner-Fresenius Center for Digital Health (EKFZ), a joint center of the Carl Gustav Carus Medical Faculty of Dresden University of Technology and Dresden University Hospital, promotes translational and interdisciplinary research in the field of digital medicine and health. The center, which is funded by the Else Kröner-Fresenius Foundation, cooperates closely with many high-tech specialists in Dresdens research environment and aims to strengthen and promote cooperation with university medicine.

The position is embedded in an interdisciplinary and international research environment within the “Medical Device Regulatory Science” research group led by Prof. Steven Gilbert and involves close collaboration with academic institutions and practice partners.

Your responsibilities:

Contribute to applied research and prototyping projects in the field of cybersecurity for medical technologies and digital clinical infrastructures

Collaborate with academic partners and healthcare practitioners

Develop and evaluate applications for automated and AI-assisted support of security documentation

Analyze technical security requirements and translate them into practical and implementable solutions

Assess and evaluate the security of AI systems in healthcare settings

Support research activities related to cybersecurity policy and governance issues

Prepare scientific publications and present research findings at conferences and other professional events

Contribute to knowledge transfer between research, practice, and relevant stakeholders

Your profile:

Masters degree in computer science, bioengineering, biomedical engineering, or a related field

Proficient in English (written and spoken)

Agile mindset with a high level of motivation and an adaptable working style

Coding experience (e.g., Python)

Research experience (e.g., publications as first or co-author)

Verifiable experience in at least two of the following areas:

Cybersecurity governance and policy (e.g., standards, regulations, guidance)

Cybersecurity management (e.g., threat modeling)

Technical cybersecurity (e.g., secure development)

Cybersecurity operations and response (e.g., monitoring, detection, investigation, incident response)

Offensive cybersecurity (e.g., penetration testing, red teaming, vulnerability assessment)

Cybersecurity of AI systems

Cybersecurity in healthcare

Prototyping and development of AI/LLM-enabled applications (e.g., python-based prototyping, LLM applications, agentic workflows)

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