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The University of Kassel is a modern and growing University with round about 23.000 students. It has an extraordinary wide section with expertise of nature, technique, culture and society.

At the Institute of Chemistry at the Department for Computational Chemistry of Nanomaterials (Prof. Dr. Guido Falk von Rudorff), the following positions are available as soon as possible:

2 Research Assistants (m/f/d), EG 13 TV-H, fixed-term and part-time position (currently 20 hours per week)

Closes: 08.02.2023
Date of Hire: as soon as possible
Reference: 35817

Please send your application with the usual informative documents, stating the reference number in the subject line, via the online form. We have compiled further information for you in our FAQ.

In exceptional cases, we will also accept your application documents in paper form addressed to: The President of the University of Kassel, 34109 Kassel, Germany, or via mail to bewerbungen[at]uni-kassel.de, stating the reference number.

In the case of postal applications, please submit only copies of your documents (no folders), as these cannot be returned. All documents will be destroyed after completion of the selection process in compliance with data protection regulations.

Part-time position with half the working hours of a full-time employee. This is a fixed term-position of three years with the possibility of extending the contract for a further two years (position for academic qualification corresponding to § 65 HHG i. V. m. § 2 Abs. 1 Satz 1 WissZeitVG; opportunity for PhD project).

The newly established lab at University of Kassel (nablachem.org) is a computational chemistry group investigating:
      • How properties of molecules and materials change if you were to locally modify them, e.g. by replacing atoms with those of another element. Treating the system perturbatively in the context of quantum mechanics, allows us to optimize materials to have favourable properties without trying candidate materials one-by-one.  
      • How to obtain property gradients in computational chemistry from e.g. quantum chemistry methods.  
      • How to use such gradient information efficiently in machine learning applications.

The specific research projects in this domain will be developed together with the successful applicants.

Tasks:

  • How properties of molecules and materials change if you were to locally modify them, e.g. by replacing atoms with those of another element. Treating the system perturbatively in the context of quantum mechanics, allows us to optimize materials to have favourable properties without trying candidate materials one-by-one.
  • How to obtain property gradients in computational chemistry from e.g. quantum chemistry methods.
  • How to use such gradient information efficiently in machine learning applications.

Requirements:

  • Completed course of academic study (Master degree) within the fields of Physics, Chemistry, Materials, or related fields. The degree must have been obtained by the starting date at the latest.
  • Enjoy team work and an interdisciplinary environment
  • Fluent in English (written and oral)

Advantageous:

  • Basic scripting skills (preferably Python)
  • Knowledge in machine learning or data analysis or an interest therein
  • Experience with scientific computing, preferably atomistic simulations
  • Knowledge of German or the willingness to learn it for teaching

The group offers:

  • Research in a group with collaborations in the US, Canada, Austria and Spain
  • Dedicated budget for training, summer schools, conferences
  • Optionally long stays abroad with our collaborators paid for by the group
  • Modern office environment and personal notebooks
  • Access to large scale compute facilities including cloud computing
  • Personalized training in a small group
  • Time for personal development
  • Optional: part-time work-from-home arrangement

For further information, please contact Prof. Dr. Guido Falk von Rudorff, Tel.: +49 561 804-4762

Our offer:
As an employee of the University of Kassel

In addition, you will benefit from the advantages of employment in the public service such as:

You can find more jobs at stellen.uni-kassel.de

The protection of your personal information is very important to us, so we will handle your personal information with care. By your application, you allow us the storage and use in the sense of the Hessian Data Protection and Freedom of Information Act. You can object to this at any time. Your personal data will be deleted.

Information according to Art. 13 DSGVO for the application process at the University of Kassel can be found at:
www.uni-kassel.de/go/ausschreibung-datenschutz

The University of Kassel is very interested in the professional satisfaction of its employees. It is distinguished as a family-friendly university and, in the interests of equal opportunities, strives to offer everyone the same opportunities for development and to counteract existing disadvantages. It promotes the Family Welcome Service and also the Dual Career Service for positions that are scientifically and academically filled. One of the strategic goals of the University of Kassel is to significantly increase the proportion of women in research and teaching. Applications from women are therefore particularly welcome. Seriously handicapped and equivalent applicants are given preference if they have the same suitability, qualifications and professional performance. Full-time positions are generally divisible (except when filling civil servant positions). Applications indicating the Position Number, which may be in digital form, should be sent to the President of the University of Kassel, 34109 Kassel, Germany quoting the applicable reference number.
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