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Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems.

Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems.

Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems.

Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems.

Helm­holtz-Zen­trum Dres­den-Ros­sen­dorf e.V.

Forschung

Görlitz

  • Art der Beschäftigung: Teilzeit
  • 55.000 € – 69.000 € (von XING geschätzt)
  • Vor Ort
  • Zu den Ersten gehören

Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems.

Über diesen Job

    Helmholtz-Zentrum Dresden-Rossendorf e.V.

    With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.

    The Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research.

    CASUS is looking for a

    Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems.

    English

    Tasks:

    • Identify existing machine learning approaches applicable for geochemical systems in a geological setting
    • Implement, adapt, and apply machine learning approaches and mathematical surrogate models for modeling radionuclide migration in crystalline host rocks
    • Perform uncertainty quantification of machine learning and surrogate models with respect to traceability, robustness and physicochemical correctness
    • Cooperate with our project partners at HZDR, TU BA Freiberg and TU Darmstadt
    • Present your scientific findings at academic venues and publish research in peer-reviewed journals

    Requirements:

    • Ph.D. in the field of Physics, Chemistry, Computer Sciences or Applied Mathematics or related field
    • Background in mathematical surrogate modeling and machine learning
    • Experience or familiarity with large-scale computational simulations
    • Prior exposure to collaborative software development and version control systems (Git)
    • Motivation to work collaboratively in a team-oriented environment
    • Proficiency in programming languages (Python, Julia, C/C++)
    • Excellent communication skills in English

    What we offer:

    • A vibrant research community in an open, diverse and international work environment
    • Scientific excellence and extensive professional networking opportunities
    • Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
    • We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours
    • Numerous company health management offerings
    • Employee discounts with well-known providers via the platform Corporate Benefits
    • An employer subsidy for the "Deutschland-Ticket Jobticket"

    How to apply:

    We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76987

    Gehalts-Prognose

    Unternehmens-Details

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    Helm­holtz-Zen­trum Dres­den-Ros­sen­dorf e.V.

    Forschung

    Dresden, Deutschland

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