Undergraduate Assistant (m/f/d) in the field of study Computer science, mathematics, engineering, data science, physics or comparable

Bundesanstalt für Materialforschung und -prüfung

Germany

January 30, 2022

Description

Position

Undergraduate Assistant (m/f/d) in the field of study Computer science, mathematics, engineering, data science, physics or comparable

Deadline

30.01.2022

Reference number

363/21-8.4

Employment category

Part-time / 60 Monatsstunden

Preferred start date

15.02.2022

Salary

Payment for students (payed per hour)

Contract Term

Limited / 31.12.2022

Location

Berlin Steglitz

Unter den Eichen 87 12205 Berlin

Division 8.4 - Acoustic and Electromagnetic Methods

To strengthen our team in the division “Acoustic and electromagnetic methods” in Berlin-Steglitz, starting next possible date, we are looking for an

Undergraduate Assistant (m/f/d) in the field of study Computer science, mathematics, engineering, data science, physics or comparable

60 hours/month Temporary contract limited until 31. December 2022 Hourly wage 12,96 Euro

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.

We are looking for talented people to join us.

Your responsibilities include:

As part of a publicly funded research project, you will be part of a research team developing a method for automated ultrasonic testing of turbine blades. Your focus is on the implementation and optimisation of imaging and image- processing computer algorithms.

  • Implementation and analysis of different algorithms for the acquisition of complex surfaces from reconstructed images
  • Scaling and optimisation of data streams and data processing algorithms
  • If applicable, use of Machine-Learning for feature classification
  • Visualisation of the results in 3D models
  • Your qualifications:
  • Student of one of the above-mentioned fields of study or comparable
  • Excellent programming skills in Matlab, Python or comparable
  • Experience in the efficient processing of bigger two- and multi- dimensional data matrices would be an advantage
  • Basic knowledge of wave or ultrasound physics is an advantage
  • Largely independent, careful way of working, high level of commitment
  • Language skills: good knowledge of German or English
  • 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
  • You are enrolled at a German university for the period of employment. The maximum working time with a part-time job is 80 monthly hours.

    Your application:

    We welcome applications via the online application form by 30. January 2022. Alternatively, you can also send your application by post, quoting the reference number 363/21-8.4 to:

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

    Mr Dip.-Ing. Heckel will be glad to answer any specific questions you may have. Please get in touch via the telephone number +49 30 8104-3686 and/or by email to Thomas.Heckel@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 low level of physical aptitude.

    Stay in touch with us:

    Subscribe to our newsletter: https: // bam.de/newsletter

    Follow us on Twitter: https: // twitter.com/BAMResearch

    Apply now!

    Publications
  • Undergraduate Assistant (m/f/d) in the field of study Computer science, mathematics, engineering, data science, physics or comparable Kennziffer 363/21-8.4
  • Similar Jobs

    University of Southampton

    United Kingdom Jan 26, 2022

    Add to favorites Read more...

    PhD Studentship - Extending the envelop of advanced X-ray imaging for data-rich analysis of composite structures

    PhD Studentship - Extending the envelop of advanced X-ray imaging for Universities of Southampton, Bath, Bristol and Exeter, the project will researchers across the universities, the current PhD will particularly explore and optimise the role...