Computer Scientist – Dkfz

Computer Scientist – Dkfz, Computer Scientist in Secure Federated Learning Infrastructure for Health, 20.05.2020, Germany.

Position: Computer Scientist in Secure Federated Learning Infrastructure for Health

Department: Medical Image Computing

Code number: 2020-0118

Computer Scientist - Dkfz

About company

The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer research.

The Division of Medical Image Computing (MIC; https://www.dkfz.de/en/mic/index.phphttps://twitter.com/mic_dkfz) pioneers research in machine learning and information processing, with the particular aim of improving cancer patient care by systematic image data analytics. Working in the highly dynamic and exciting area between AI, medical research, cloud technologies and state of the art software development, we are seeking for a motivated computer scientist or software engineer to join our team for a full-time position.

Job description:

You will be part of an interdisciplinary and vibrant research team that is developing a diverse range of state-of-the-art methodology and software components for the project “Trusted Federated Data Analysis” (TFDA; more information: https://tfda.hmsp.center). TFDA aims to realize decentralized, cooperative data analytics architectures by addressing the most relevant issues in such scenarios; e.g. by facilitating the algorithms transfer to the data in a trustworthy and regulatory compliant way and by investigating the possibilities and weaknesses of secure federated learning schemes. Working in this project you have the opportunity to dive into image computing, federated and secure machine learning as well as with cloud technologies and IT security topics.

Your responsibilities include the following:

  • Join the design and software development of our technology platform used for TFDA and our proof of concept medical studies
  • Research on secure federate learning techniques and causality in federated learning
  • Publications and presentation of the project results
  • Plan and coordinate tasks as well as support the project reporting

Requirements:

  • Master’s degree in informatics or a related scientific discipline (e.g. computer science, mathematics, physics or statistics)
  • Strong analytical and software development skills are essential
  • Experiences with machine learning and associated software stacks as well as with different programming/scripting languages (C++, Python, Java, Javascript) are beneficial
  • Experiences with image computing, in high-performance computing environments as well as with cloud technologies are beneficial
  • Reliability, attention to detail, communication skills and the ability to work in a multidisciplinary international team will be expected

Interested and qualified applicants should at least submit a cover letter with references and a curriculum vitae.

We offer:

  • Interesting, versatile workplace
  • International, attractive working environment
  • Campus with modern state-of-the-art infrastructure
  • Salary according to TV-L including social benefits
  • Possibility to work part-time
  • Flexible working hours
  • Comprehensive further training program

Earliest Possible Start Date: as soon as possible

Duration: The position is limited to 2 years with the possibility of prolongation.

The position can in principle be part-time.

Application Deadline: 20.05.2020

Contact:

Dr. Ralf Floca
Phone +49 (0)6221/42-2560

Please note that we do not accept applications submitted via email.

How to Apply

To apply click here. Computer Scientist – Dkfz

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The German Cancer Research Center is committed to increase the percentage of female scientists and encourages female applicants 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/jobs).

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.

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