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Stellenangebote

PhD Student in Medical Image Computing

Organisation
Deutsches Krebsforschungszentrum (DKFZ)
Ort
Heidelberg
Website der Organisation
https://www.dkfz.de/
Besetzung ab
as soon as possible
Stellenprofil
The German Cancer Re­search Center is the largest bio­medi­cal re­search insti­tu­tion in Germany. With more than 3,000 employees, we operate an exten­sive scien­tific program in the field of cancer research.

The Division of Medical Image Computing is seeking a

PhD Student in Medical Image Computing
(Ref-No. 2023-0275)

In order to close the gap between basic and clinical research and together with selected university partner sites, the DKFZ has established the German Cancer Consortium (Deutsches Konsortium für Translationale Krebsforschung, DKTK). The alliance between the DKFZ as the core center and the university partner sites in Berlin, Dresden, Essen/Düsseldorf, Frankfurt/Mainz, Freiburg, Heidelberg, Munich and Tübingen establishes joint translation centers at the University Medical Centers of each of the selected partner site.

This open PhD position at the Medical Image Computing (MIC) division at DKFZ was established to further enable and enhance modern and distributed imaging research within the consortium on the basis of the Joint Imaging Platform (JIP), a strategic initiative to establish a technical infra­structure for medical image computing within the DKTK. We will develop and apply modern machine learning methods in medical image computing and build upon collabo­rations between the participating clinical sites and multi­center trials.

We offer the possibility to conduct a PhD in the field of applied AI and software development as part of a lively and dynamic network of excellent partners from versatile back­grounds.

Description:
As part of a lively and dynamic network of excellent partners from versatile back­grounds, your specific responsibilities would be:

- Development and evaluation of methods for auto­matically segmenting organs in medical images
- Applying AI in federated clinical scenarios, algorithm development and application together with local and network-wide clinical and technical partners
- Contributing to the scientific output of the department (preparing challenges/workshops, writing papers, participating in conferences)

Your profile:
- Master’s degree in medical informatics or a related scientific discipline (e.g. computer science, mathe­matics, physics or statistics)
- Proficiency in coding with Python and PyTorch, with a proven track record of developing and imple­menting machine learning models
- Excellent analytical and software develop­ment skills
- Excellent English communication skills

To apply, please submit a brief cover letter stating your motivation, a curriculum vitae as well as university certificates and transcripts.

We offer:
- Excellent framework conditions: state-of-the-art equipment and opportunities for inter­national networking at the highest level
- Access to international research networks
- Doctoral salary with the usual social benefits
- 30 days of vacation per year
- Flexible working hours
- Possibility of mobile work and part-time work
- Family-friendly working environment, e. g. parent-child room, advisory services
- Sustainable travel to work: subsidized Germany job ticket
- Unleash your full potential: targeted training and mentoring through the DKFZ International PhD Program and DKFZ Career Service
- Our Corporate Health Management Program offers a holistic range of services for your well-being

The position is limited to 3 years.

Important notice:

The DKFZ is subject to the regulations of the Infection Protection Act (IfSG). As a consequence, only persons who present proof of immunity against measles may work at the DKFZ.

For further information please contact
Prof. Dr. Klaus Maier-Hein, phone +49 (0)6221/42-2354.

The DKFZ is committed to increase the proportion of women in all areas and positions in which women are underrepresented. Qualified female applicants are therefore particularly encouraged to apply.

Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.

To apply for a position please use our online application portal (www.dkfz.de).

We ask for your understanding that we cannot return application documents that are sent to us by post (Deutsches Krebs­forschungs­zentrum, Personal­abteilung, Im Neuen­heimer Feld 280, 69120 Heidelberg) and that we do not accept applications submitted via email. We apolo­gize for any inconvenience this may cause.
Fachbereich
Cancer Research
Lehrgebiet
modern machine learning methods
Abteilung
Medical Image Computing
Anstellungsart
Full-time, part-time possible, limited to 3 years
Vergütung
Doctoral salary with the usual social benefits

Bewerbungsanschrift

Deutsches Krebs­forschungs­zentrum,
Personal­abteilung,
Im Neuen­heimer Feld 280,
69120 Heidelberg

https://api.relaxx.center/r/0b2757e181cc441b99106b252f2302b0?pid=1939125&mpid=1275821&prid=19182&tid=30

Ansprechpartner

Prof. Dr. Klaus Maier-Hein
+49 (0)6221/42-2354
k.maier-hein@dkfz-heidelberg.de
09.08.2023

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