Position

Research Assistant (m/f/d) in the field of computer science, technical software development, engineering, mathematics, physics, data engineering or similar

Deadline

19.12.2021

Reference number

341/21-8.5

Employment category

Full time /

Preferred start date

01.09.2022

Salary

E 13 TVöD

Contract Term

Limited / 31.12.2024

Location

Berlin Steglitz

Unter den Eichen 87
12205 Berlin

Division 8.5 - Micro Non-Destructive Testing



To strengthen our team H2Safety@BAM in the division “Micro-NDT” in Berlin-Steglitz, starting 01.09.2022, we are looking for a

Research Assistant (m/f/d) in the field of computer science, technical software development, engineering, mathematics, physics, data engineering or similar

Salary group E13 TVöD
Temporary contract until 31.12.2024
Full-time / suitable as part-time employment

The Bundesanstalt für Materialforschung und -prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and analytical sciences.

BAM is currently strengthening its research and development activities along the national and European hydrogen strategy. The tasks of this position are in the field of sensor concepts of the test platform "hydrogen fuelling station", which BAM is setting up as a real-scale laboratory within the framework of research project.

You will be part of an interdisciplinary team that offers diverse opportunities to work at the interface between research and application in the field of hydrogen technologies.

Your responsibilities include:

  • Development of software routines for the registration of data sets of different measurement methods (e.g. X-ray CT, CAD, thermography, optical tomography, micrographs) using machine learning methods
  • Identification of features suitable for the registration of differently dimensioned data sets
  • Simulation of training data for Machine Learning
  • Use and implementation of the developed routines in the research data management system
  • Active participation in the BAM focus area Material
  • Cooperation with internal and external research groups represented in QI Digital as well as with industrial partners
  • Supervision of graduated and undergraduate students
  • Extensive scientific documentation of the results through technical articles and presentations at national and international conferences, publications, reports

Your qualifications:

  • Completed university studies (diploma, master's degree), in a subject relevant to the field (computer science, technical software development, engineering, mathematics, physics, data engineering or similar) and doctorate or equivalent experience.
  • Extensive knowledge of at least two programming languages (e.g. Python, Java, C++)
  • Good knowledge of machine and deep learning methods
  • Experience and knowledge in digital image processing and analysis
  • Experience in the management and implementation of research projects
  • Knowledge in non-destructive testing is an advantage
  • Good knowledge of English and German (oral and written)
  • Communication skills, both verbal (e.g., proven by appearance at international conferences) and written (ability to publish scientific articles and reports)
  • Goal-oriented and structured way of working, initiative/commitment, willingness and ability to make decisions as well as ability to work in a team/willingness to cooperate

We offer:

  • Interdisciplinary research at the interface of politics, economics and society
  • Work in national and international networks with universities, research institutes and industrial companies
  • Outstanding facilities and infrastructure
  • Flexible working hours and mobile working



Your application:

We welcome applications via the online application form by 19.12.2021. Alternatively, you can also send your application by post, quoting the reference number 341/21-8.5 to:

Bundesanstalt für Materialforschung und -prüfung
Referat Z.3 - Personal
Unter den Eichen 87
12205 Berlin
GERMANY
www.bam.de

Prof. Bruno will be glad to answer any specific questions you may have. Please get in touch via the telephone number +49 30 8104-1850 and/or by email to Giovanni.Bruno@bam.de.

BAM pursues the goal of professional equality between women and men. We therefore particularly welcome applications from women. In addition, BAM supports the integration of severely disabled persons and therefore especially welcomes their applications. With regard to the fulfilment of the job advertisement requirements, the application documents are examined individually. Recognised severely disabled persons will be given preferential consideration if they are equally suitable.

The advertised position requires a high level of physical aptitude.


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