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PhD Position in Computer Simulation & Machine Learning

     
Employer
Helmholtz-Zentrum Geesthacht
Institute of Materials Research
Published
Closing Date
WorkplaceGeesthacht, Schleswig-Holstein, Germany
Category
Position
Job Startpreferred starting date is November 1st, 2019

The Helmholtz-Zentrum Geesthacht (HZG), in Geesthacht, near Hamburg, and in Teltow, near Berlin, conducts materials and coastal research. For further information please refer to: ?url=www.hzg.de&module=jobs&id=45796" target="_blank" rel="nofollow">www.hzg.de

HZG is one of the 19 national institutions of the Hermann von Helmholtz Association of German Research Centres e.V. (HGF). Around 950 employees carry out basic research and development work in close cooperation with national and international research institutions, research-oriented clinics and economic and public institutions.

At the Institute of Materials Research some 200 scientists conduct research in the five sub-institutes "Materials Mechanics", "Materials Physics", "Materials Technology", "Magnesium Innovation Centre MagIC" and "Metallic Biomaterials".

The Institute of Materials Research of Helmholtz-Zentrum Geesthacht is offering a 3-years PhD position in the area of computer simulations and machine learning.

Description

The focus of the PhD project will lie on developing novel machine learning architectures that can be combined with established methods from computational engineering and computer simulation such as the finite element method or discrete element method.

The objective is to extend the range of applicability of these established methods to problems from mechanical engineering and materials research that could not be addressed so far due to their high complexity, which prevents approaches that solely rely on classical mechanistic modeling.

Your tasks
  • development of novel machine learning architectures that can be combined with methods from computational engineering and computer simulation
  • implementation of your machine learning architectures in Python (using Keras / TensorFlow)
  • validation of your results in collaboration with colleagues from various application areas
  • publication and presentation of your scientific results in international scientific journals and at international conferences and workshops

Requirements

  • master’s degree in computational engineering, mechanical engineering, computer science, applied mathematics, physics or similar area
  • very good programming skills in Python and ideally also C++
  • proven experience in object-oriented code development (coding skills will be checked during the job interview!)
  • preferably also background knowledge in computational mechanics and applied mathematics
  • prior experience specifically with machine learning is an advantage but not strictly required
  • very good English

We offer

  • opportunity to enroll in a PhD program at Hamburg University of Technology
  • multinational work environment with colleagues from more than 50 nations
  • extensive options of vocational training (i.e. expert seminars, language courses)
  • flexible working hours and various models to ensure the compatibility of family and career
  • excellent infrastructure, including labs, research vessel, computer cluster, scientific in-house library as weil as modern work spaces
  • an appropriate salary related to the German public tariff (TV-AVH) plus the usual social benefits for the public employment sector

The promotion of equal rights is a matter of course for us. Severely disabled persons and those equaling severely disabled persons who are equally suitable for the position will be considered preferentially within the framework of legal requirements.

Address

Interested? Please use our online form to transmit your application as one pdf-file, including your CV, a statement of interest and copies of master / diploma / university certificates.
Reference code: 50003352_1 – 2019/WM 6
Contact: Ms. Erika Krüger, personalhzg.de

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