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  PhD student position process and microstructure modelling of Solid State Layer Deposition (SSLD)

   Institute of Materials Mechanics

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  Prof Benjamin Klusemann  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

The Solid State Materials Processing department of the Institute of Materials Mechanics, at the Helmholtz-Zentrum Hereon is looking for a PhD student, starting as soon as possible, initially limited to 3 years, within the ERC Consolidator Grant MA.D.AM "Modelling Assisted Solid State Materials Development and Additive Manufacturing" (​project/​id/​101001567).

The PhD position is mainly modelling oriented, focusing on the process and microstructure modelling of Solid State Layer Deposition (SSLD), i.e. Friction Surfacing Layer Deposition. This includes in particular the modelling of the SSLD process based on meshfree particle methods, where corresponding validation experiments will be performed within the department. Additionally, the PhD student will contribute to the development of a micromechanical model to describe the microstructure evolution during SSLD.

Equality of opportunity is an important part of our personnel policy. We would therefore strongly encourage qualified women to apply for the position.

Your tasks

  • execution and responsible handling of the research project funded by the European Union, i.e. the ERC Consolidator Grant MA.D.AM: Modelling Assisted Solid State Materials Development and Additive Manufacturing
  • Process Modelling of SSLD based on meshfree particle method to simulate temperature, material flow, residual stress and distortion during the deposition process
  • establishing fundamental link between process characteristics and microstructure during SSLD
  • collaboration within an interdisciplinary team
  • publication of the results in scientific journals and presenting at conferences

Your profile

  • university degree in the field of computer science, physics, materials science, mechanical engineering or comparable (master's degree or equivalent)
  • ability to work scientifically, usually proven by an above-average degree
  • good knowledge in the field of computational mechanics or computational fluid dynamics
  • good programming skills, especially in C++, in GPU programming is advantageous
  • knowledge in the field of meshfree particle methods is advantageous
  • knowledge of microstructural evolution in metals is advantageous
  • very good oral and written expression in English, German is advantageous
  • ability to work in a team and commitment to the work programme

For further information please contact: Prof. Dr. Benjamin Klusemann ([Email Address Removed]).

We offer you

  • multinational work environment with over 1,100 colleagues from more than 50 nations
  • extensive options of vocational training (i. a. expert seminars, language courses or leadership seminars)
  • flexible working hours and various models to ensure the compatibility of family and career
  • excellent infrastructure, including a scientific in-house library as well as modern work spaces
  • remuneration according to the standards of the collective wage agreement TV-AVH including further social benefits
  • free employee advice – Employee Assistance Program (EAP)
  • childcare offers
  • welcome Office, guest accommodation
  • canteen at the Geesthacht location
  • possibility to enrol in the doctoral program (Dr.-Ing.) at the Leuphana University of Lüneburg

Helmholtz-Zentrum Hereon

The Helmholtz-Zentrum Hereon conducts cutting-edge international research for a changing world: Around 1,100 employees contribute to the tackling of climate change, the sustainable use of the world's coastal systems and the resource-compatible enhancement of the quality of life. From fundamental research to practical applications, the interdisciplinary research spectrum covers a unique range.

Institute of Materials Mechanics

The Institute of Materials Mechanics focuses in innovative lightweight structures. Experiments, simulations, data-driven models and artificial intelligence are used to develop and investigate state-of-the-art process technologies, joining and modification methods. These technologies are applied in particular in automotive and aeronautical engineering.


Then we are looking forward to receiving your comprehensive application documents (cover letter, CV, transcripts, certificates etc.) indicating the reference number 2022/WM 1.

Apply now

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