Offer 168 out of 518 from 26/05/23, 10:19


Phy­si­ka­lisch-Tech­ni­sche Bun­des­an­stalt

The art of measurement — made in Germany. Striving to perfect it is the mission of the 2100 employees of PTB, the Physikalisch-Technische Bundesanstalt. As Germany’s national metrology institute, we operate in an international environment to develop world-class measurement standards. We at PTB work to ensure that people and organizations can trust the measurements they use.

At our Berlin-Charlottenburg site, we are looking to fill the following position at Department 8.4 (Mathematical Modelling and Data Analysis): Student assistant for the development of statistical methods for inverse problems and deep learning (Ref. No. 23-28-8)

Student assistant for the development of statistical methods for inverse problems and deep learning (Ref. No. 23-28-8)

Working field:

While working here, you will support Working Group 8.42 (Data Analysis and Measurement Uncertainty) in the development of mathematical and statistical methods for solving high-dimensional inverse problems using deep learning. Our research in this field focuses on methods for approximating the posterior distribution that occurs in Bayesian inverse problems in magnetic resonance imaging. Machine learning and deep learning methods are applied here in order to statistically regularize the problem.

  • Assisting in the development and implementation of statistical methods for solving high-dimensional inverse problems in magnetic resonance imaging
  • Conducting comparisons with state-of-the-art methods of statistical data analysis
  • Applying the developed methods to real data


  • You are enrolled in a bachelor’s or master’s degree program in statistics, engineering sciences, mathematics, physics, information technology, or a comparable field, and have ideally already earned a bachelor’s degree.
  • You are proficient in the field of statistics and take an interest in data analysis.
  • You have programming experience in Python or Matlab.
  • You will ideally have experience in the field of machine learning.
  • You are able to analyze problems mathematically.
  • You carry out your work in an independent, targeted and well-structured manner
  • You have strong communication and teamwork skills.
  • You will ideally have a good command of English, both spoken and written.·

What we offer:

  • Valuable practical experience in a leading metrology institute
  • Flexible work options to accommodate your student schedule
  • Payment according to a fixed hourly rate
  • Maximum employment term of six months with up to 36 hours/month, but with your employment terminating no later than your graduation or when you are no longer enrolled at university
  • Holiday leave entitlement and continued payment in case of illness
  • The opportunity for you to write your master’s thesis
  • A practice-oriented activity to complement your studies
  • Excellent public transport connections
  • Free parking for cars, motorbikes and bicycles as well as charging facilities for e-bikes
  • On-site canteen

How to apply:

PTB is an equal opportunity employer and strongly encourages applications from female candidates.
If equally suited to the position, disabled persons will be given preference.

Your application:
If you are interested in this position, please contact
Dr. Manuel Marschall, phone: +49 (0)30 3481-7948, email:
by no later than 22 June 2023.

Physikalisch-Technische Bundesanstalt | Z.1522 - Personalgewinnung | Abbestraße 2-12 | 10587 Berlin