University professorship (all genders) for Digital Medicine and Artificial Intelligence in Opht[...]

UKE - Universitätsklinikum Hamburg-Eppendorf; Hamburg; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

The University Medical Center Hamburg-Eppendorf (UKE) is seeking a University Professor (all genders) for Digital Medicine and Artificial Intelligence in Ophthalmology. This five-year position focuses on teaching, research, and advancements in ophthalmic data standards and AI models. The ideal candidate will have a strong background in ophthalmology and medical informatics, and will contribute to innovative education and research in digital health solutions.

Leistungen

Innovative working environment

Family-friendly workplace with childcare options

Extensive training programs available

Company pension scheme

Award-winning health programs

Qualifikationen

• Proof of specialist qualification in ophthalmology required.
• In-depth knowledge of multimodal imaging techniques necessary.
• Experience in teaching at undergraduate and postgraduate levels expected.

Aufgaben

• Teaching and research in digital medicine and AI in ophthalmology.
• Developing AI models and evaluating their effectiveness.
• Planning education courses related to AI in ophthalmology.

Kenntnisse

Digital Medicine

Artificial Intelligence

Ophthalmology

Teaching

Medical Informatics

Ausbildung

Postdoctoral lecturing qualification

Master’s degree in Medical Informatics or equivalent

Tools

DICOM

HL7

SQL

JSON

Jobbeschreibung

Better together. For life.

We are the University Medical Center Hamburg-Eppendorf (UKE) - and we stand for excellent competence in research, teaching and comprehensive healthcare in our clinics. Every day, our approximately 15,300 employees strive anew to make the world a little healthier with their contribution.

It is our aspiration to be one of the leading university hospitals - and at the same time the best employer in our industry. At UKE, for example, we firmly believe that successful and fulfilling work should be in harmony with employees' personal needs and individual lifestyles. And as diverse as these are, so is our range of individual solutions.

Welcome to the UKE.

University professorship (all genders) for Digital Medicine and Artificial Intelligence in Ophthalmology at the level of pay grade ‘BesGr W2’ (endowed professorship)

Job-ID:
J000004583
Contract Type:
Temporary depending on evaluation
Employment Type:
Full time
Closing Date:
17.06.2025
Organization:
UKE_Kopf- und Neurozentrum
Category:
Professorship
Department:
Klinik und Poliklinik für Augenheilkunde

Field of activity

This position (reference number FK03-321/2) is initially to be filled for 5 years from the next possible date. A permanent contract is planned following a positive evaluation.

• Teaching and research in the field of digital medicine and artificial intelligence in ophthalmology
• Advancing the interoperability and standardisation of ophthalmological data structures with regard to research and patient care (electronic patient records)
• Developing artificial intelligence models and their scientific evaluation in cooperation with existing structures at the UKE and beyond
• Scientifically evaluating existing artificial intelligence models and telemedicine approaches in ophthalmology
• Deeper networking of the Department of Ophthalmology within the existing structures at the UKE (bAIome, Vice-Deanery for Research)
• Advising physicians, patients and cost bearers on the opportunities and risks of artificial intelligence in screening and diagnostic procedures in ophthalmology
• Planning and implementation of continuing education courses with the relevant ophthalmological societies and professional associations for critical discussion of artificial intelligence in screening, diagnostics and therapy in ophthalmology with the aim of developing guidelines, also with regard to ethical principles
• Participating in committees at the interface between specialist societies, professional associations and industry to ensure the best possible interoperability in ophthalmic imaging and data exchange
• Accompanying population-based studies with a focus on ophthalmology in the use of artificial intelligence and digital medicine

Teaching commitments

Teaching load according to the Teaching Obligation Regulation for Hamburg Institutions of Higher Education [LVVO] in its currently valid version. A reduction in the teaching load is governed according to Sections 15 et seq. LVVO.

Recruitment requirements

• In accordance with Section 15 of the Hamburg Higher Education Act [HmbHG] of 18 July 2001, as amended, including proof of a postdoctoral lecturing qualification or an equivalent scientific qualification
• Experience in teaching at undergraduate and postgraduate level
• Proof of specialist qualification in ophthalmology or a master’s degree or equivalent in a science or medical informatics
• In-depth knowledge and application of multimodal imaging techniques in ophthalmology (e.g. OCT, OCT-A, FAG, AF)
• In-depth knowledge of the relevant medical informatics data structures in ophthalmology and their processing (e.g. DICOM, HL7, XML, JSON, SQL, proprietary file formats for ophthalmic imaging and data processing)
• Knowledge of the mathematical fundamentals of artificial intelligence (tensors, linear algebra, analysis, statistics) and the statistical evaluation of AI models

Ideally, you will also meet additional criteria:

• Ability to work with object-oriented programming using modern programming languages
• Experience in the processing, structuring and evaluation of medical data and image data, as well as in the training of neural networks with a focus on ophthalmology
• Experience in the structured evaluation of ophthalmological image data and its secure transmission across locations for clinical studies
• Experience in the planning and implementation of multicentre clinical studies
• Experience in setting up and leading a scientific working group
• Ability to combine the pathophysiological fundamentals of ophthalmology and imaging modalities with their artefacts and limitations using medical informatics methods in the context of digital medicine and artificial intelligence

Immunity status

Please note that employment is contingent upon proof of immunization or immunity against the measles virus, in accordance with applicable legal and medical requirements. Documentation (e.g., vaccination certificate) must be provided before employment begins.

Our Offer

• An innovative and family-friendly working environment in the heart of Hamburg (collaboration with childcare providers, free childcare during school/kindergarten holidays)
• Opportunity to participate in extensive training and continuing education programs at our UKE Academy for Training and Career as well as in a wide range of introductory events
• An attractive company pension scheme and access to a diverse spectrum of award-winning health programs and preventive healthcare measures

We offer a working environment providing equal opportunities regardless of age, gender, sexual identity, disability, origin or religion. To emphasise this, we have joined the Diversity Charter. It is our explicit aim to increase the proportion of women in leadership positions, especially among scientific personnel in the areas of research and teaching. Women with equivalent qualifications will be primarily considered. The same applies if a gender is underrepresented in the area of the vacant position. Severely disabled persons with the same of aptitude, qualifications, and professional performance will be given preference.

Your application

We look forward to receiving your complete application with a tabular CV, structured publication list, research concept, teaching concept, and equality concept aligned to Hamburg, as well as proof of third party funding and other references and certificates. Please email your application, quoting the reference number FK03-321/2, by June 17, 2025 to [e-mail] (as a pdf file).

Contact

Contact to the department

Prof. Dr. Martin Spitzer

Director of the Head and Neurocentre | Department of Ophthalmology

[phone]
[e-mail]

Apply now

[e-mail]

Employer

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