Scientist or doctoral candidate in computer science, mathematics, statistics, physics (23-41-8)

At our Berlin-Charlottenburg site, we are looking to fill the following position in Department 8.4 (Mathematical Modelling and Data Analysis):
Scientist or doctoral candidate in computer science, mathematics, statistics, physics
Up to Remuneration Group 14 TVöD Bund ○ Three-year fixed term ○ Full-time (39 hours/week)
Doctoral candidates: Remuneration Group 13 TVöD Bund ○ Three-year fixed term ○ Part-time (33.15 hours/week)

Your activity:

Your tasks:

As part of the collaborative MAIBAI research project being funded by the European Partnership on Metrology (EPM), machine learning (ML) methods pertaining to various problems in mammographic data analysis are to be developed, curated, and tested in terms of quality aspects. For this purpose, suitable real and synthetic mammography datasets are to be created and appropriate metrics for quality assessment developed and used for quantitative comparisons of different AI/ML approaches. It is expected that the achieved project results will contribute to the translation of ML and AI tools into clinical applications.

  • Developing and curating state-of-the-art deep learning models for mammographic data
  • Defining quality requirements with respect to predictive power, robustness, quantification of the uncertainty, and explainability
  • Defining and implementing quality metrics and building benchmark datasets
  • Benchmarking and carrying out quantitative validation studies
  • Presenting and publishing the research results

Your profile:

Your profile:

  • You have successfully completed your university studies (master’s degree or German Diplom) in computer science, mathematics, statistics, physics, or a comparable discipline.
  • Ideally, you have obtained a doctor’s degree in the field of machine learning or a closely related technical field.
  • You have extensive and current expertise in theoretical and applied ML/AI and statistics.
  • You have experience with methods of explainable ML as well as modern generative models (diffusion models, convolutional neural networks).
  • You possess very good programming skills in Python and relevant deep learning libraries such as Pytorch.
  • You are a strong team player with excellent communication skills.
  • You have a very good command of English, both spoken and written.
  • You are willing to travel for work both in Germany and abroad.

We offer:

  • Work-life integration: We offer flexible working arrangements and conditions (part time, flextime, work from home, telework, compensation days) to help you manage your family, care and career responsibilities in all of life’s phases.
  • Transparent terms: Remuneration in accordance with Germany’s collective agreement for federal-level public service employees (TVöD Bund), 30 days of paid vacation, an employment-based pension plan for employees covered by the collective agreement are just some of the benefits of working for a government agency.
  • Location benefits: Our attractive campus offers an easy commute for drivers and cyclists as well as very good direct bus services. Plenty of free parking and charging facilities for e-bikes are available.
  • Jobticket: We take environmental and climate protection seriously. To encourage commuting by public transportation, we offer a subsidy towards the cost of the Deutschlandticket Job.
  • Family friendly: From dedicated parent-child offices to school holiday childcare or the opportunity to bring your child to work (rooming-in), we offer a variety of ways to help you master the family-work balancing act.
  • Inclusion: For people with disabilities, we offer an inclusive corporate culture and a range of integrative programs.
  • Learning opportunities: We want to help you get ahead by offering a wide range of training and development programs to expand and enhance your skills.
  • Health options: Your health is important to us, which is why we offer health promotion and maintenance programs, including workplace sports, a mobile massage service, and back care classes.
  • Canteen: Situated on our park-like campus grounds, our canteen offers a wide variety of culinary choices every day, including vegetarian/vegan options.
  • Work on your doctorate: Our support program for doctoral candidates gives you the opportunity to network with your peers at the national and international levels, for example at trade fairs or scientific conferences. At PTB, you will be able to concentrate on your doctoral work without having to give lectures or supervise exams.

This is important to us:

PTB is an equal opportunity employer and strongly encourages applications from female candidates. At the same time, we strive to reflect the diversity of our society. We therefore welcome every application submitted, regardless of the candidate’s gender, cultural or social background, religion, ideology or sexual identity. If equally suited to the position, disabled persons or persons having equivalent status under German law will be given preference.

Your application:

For subject-related questions concerning this position, please contact Department 8.4: Prof. Dr. Stefan Haufe, phone: +49 30 3481-7284, email: stefan.haufe(at) or Dr. Jörg Martin, phone: +49 30 3481-7289, email: joerg.martin(at)

We look forward to receiving your online application by 14 August 2023 under Ref. No. 23-41-8. Unfortunately, we cannot accept applications sent via email. 

Physikalisch-Technische Bundesanstalt (PTB)
Abbestraße 2-12
D-10587 Berlin-Charlottenburg

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Physikalisch-Technische Bundesanstalt (PTB)



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Physikalisch-Technische Bundesanstalt (PTB)
Abbestraße 2-12
D-10587 Berlin-Charlottenburg


+49 (0)30-3481-0



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