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

DETALLES DE LA OPORTUNIDAD

Recompensa total

0 $

Universidad Estatal

Helmholtz Zentrum Geesthacht

Área

Europa central y oriental

País anfitrión

Alemania

Fecha límite

02 abr. 2021

Nivel de estudio

Doctorado

Tipo de oportunidad

Doctor

Especialidades

Ingeniería

Oportunidad de financiación

Financiación completa

Países elegibles

Esta oportunidad está destinada a todos los países

Región elegible

Todas las regiones

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: 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 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 www.hzg.de category Career & Campus.

Application deadline: March 2nd, 2021

Contact: Ms. Erika Krüger

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