Scientist (with possibility to do a PhD) Molecular Modeling Chemistry

vor 4 Monaten

Graz, Österreich Research Center Pharmaceutical Engineering GmbH Vollzeit

For our team / area “Science of Quality” - Area 1 we are looking for an active, highly qualified (m/f/x)

Scientist (with possibility to do a PhD)

Molecular Modeling - Chemistry

Ref.No. SK116



Duties and responsibilities

  • Apply state-of-the-art molecular simulation technologies, both classical and/or DFT based approaches, to establish properties and understand/predict the behavior of materials in pharmaceutical production processes (e.g., for prediction of mechanical properties, cohesion energy density/binding energy anisotropy of API crystals, molecular descriptors for electrostatic charge of crystals, surface-specific thermodynamic and dynamic parameters, and surface disordering/amorphization of crystal surfaces)
  • Develop new scientific ideas, methods and technologies
  • Actively participate in project teams/ meetings/ scientific networks
  • Report and present scientific/ technical results and contribute to publications & presentations


Requirements

  • An MS degree in theoretical chemistry, (bio-)physics, material science, or a related field
  • Hands on experience with classical molecular mechanics/dynamics and/or ab-initio/DFT simulation tools and methods, including a good understanding of the involved algorithms and theory
  • Experience in programming, (e.g., python, or C++) and familiarity with Unix/Linux systems, including common command line tools
  • Professional conduct and communication skills in dealing with international clients, partners and colleagues
  • Interest in and experience with performing top-level and target-oriented research at the interface of basic science and industrial application


Good to Have

  • A good background in pharmaceutical manufacturing processes
  • Experience in the experimental characterization of materials
  • Experience with advanced simulation methodologies (e.g., extended ensemble techniques, use of ML-based potentials, or optimization of classical empirical force fields)
  • Experience with common AI/ML libraries and tools
  • Familiarity with alternative algorithms and tools, such as population balance equation solvers, CFD, or DEM applications


We offer

  • A multidisciplinary and dynamic research environment and access to highly modern infrastructure on campus of Graz University of Technology
  • Opportunities for career development at the academic and industrial level
  • A competitive salary (min. € 42.000,- gross/year, overpayment - depending on qualification - possible).
  • Possibility to work part-time


At RCPE, we place a strong emphasis on promoting diversity and inclusion.
We are also committed to encouraging women to explore opportunities within our technical environment. We actively encourage applications from women and, when candi-dates possess equivalent qualifications, we give preference while considering all relevant aspects and circumstances of all applications.

We are looking forward to receiving your application including your CV and a cover letter.

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