PhD student (m/f/d) in computational engineering
Helmholtz Zentrum Geesthacht

PhD student (m/f/d) in computational engineering

Germany 02 Apr 2021


Helmholtz Zentrum Geesthacht
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02 Apr 2021
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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:

HZG is one of the 19 national institutions of the Hermann von Helmholtz Association of German Research Centres e.V. (HGF). Around 1,000 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".

PhD student (m/f/d)in computational engineering

Reference code: 50053235_2 – 2021/MO 1

Commencement date: May 1st, 2021

The place of employment is Geesthacht (near Hamburg).

The Institute of Surface Science of Helmholtz-Zentrum Geesthacht is looking to fill the position of a PhD student (m/f/d) in computational engineering for EU project VIPCOAT - Virtual Open Innovation Platform for Active Protective Coatings Guided by Modelling and Optimization. The position is limited for three years.

Your tasks
  • development of data-driven models for advanced surface protection technologies
  • generation and assessment of relevant input features using quantum chemical software packages and chemoinformatics toolkits
  • prediction of the outcome of computationally expensive simulations by utilizing machine learning approaches
  • creation of a modelling workflow that facilitates selection of effective corrosion inhibitors in strong interaction and close collaboration with experimentalists of the project partners
  • analysis of simulation results and contribution to physics-based models, design of experiment and optimization of protective coating performance
  • active collaboration and exchange with industrial software developers and coatings manufacturers
  • publication and presentation of your scientific results in consortia meetings, scientific journals as well as at international conferences, project related focused workshops and trainings
  • contribution to project documentation

Your profile
  • master's degree in Computational Chemistry, Data Science, Materials Science, Chemistry, Chemical Engineering, Physics or Applied Mathematics
  • experience in the implementation of machine learning algorithms
  • experiences in utilizing quantum chemical numerical software packages (e.g Gaussian, VASP, TURBOMOLE).
  • excellent knowledge of relevant theoretical foundations (materials science, machine learning, chemistry, corrosion, coating technologies, informatics)
  • profound programming skills in C++, Python
  • fundamental knowledge of chemoinformatic software packages is a plus (e.g. rdkit)
  • excellent communication skills in English
  • ability to work in an interdisciplinary and international team of scientists

We offer you
  • multinational work environment with over 1,000 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

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.

Interested? Then we are looking forward to receiving your comprehensive application documents (cover letter, CV, transcripts, certificates etc.) indicating the reference number 2021/MO 1.

Please start the online application process  for this offered position via  category Career & Campus.

Application deadline: March 2nd, 2021

Contact: Ms. Erika Krüger

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