Machine Learning Scientist

vor 1 Woche

Graz, Steiermark, Österreich RCPE - Research Center Pharmaceutical Engineering Vollzeit
The Research Center Pharmaceutical Engineering GmbH (RCPE) is a global leader in pharmaceutical
engineering sciences. We help our partners create and manufacture advanced medicines for patients worldwide
through optimizing products and processes.

For our team / area Process and Manufacturing Science
we are looking for an active, highly qualified (M/F/x)

MACHINE LEARNING SCIENTIST (PhD)
30 hrs per week

Implementation and Development of AI and Data Science Solutions for Pharmaceutical
Processes
Ref.
No SK100

Duties and responsibilitiesBe involved in on-going tasks for funded projects evolving around self-supervised
artificial intelligence

  • Support the development of machine learning components (data analysis,
predictive models, image analysis) for pharmaceutical processes (e.g. model
electrochemical reactions, continuous tableting, )

  • Independently develop machine learning solutions
  • Publish research results in reputed journals
  • Implement interfaces between components via communication protocols such as
REST-API, gRPC, OPC-UA, etc.

  • Design and implement simple user interfaces for prototypes used for
demonstrations

  • Support work on project reports and deliverables

Requirements:

An MSc degree in Computer Science or Mathematics with strong Computer Science
focus

  • Advanced knowledge of Python including machine learning
  • Knowledge of C++ and CUDA programming an advantage
  • Very good mathematical knowledge (e.g. multivariate calculus, statistics, )
  • Basic knowledge of communication prototcols (e.g. REST-API, gRPC) and their
implementation

  • Knowledge of operating systems and networks
  • Very good English language skills
  • Interest in research and science in general
We offerA 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 (€ 41.300;
- gross/year for 40hrs/week)

cover letter, your CV, publication track record and credentials.

Contact
Sandra Sünkel, Head of Human Resources
Inffeldgasse 13 / 8010 Graz, Austria

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