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HPC Expert (fmd) for Scientific Modeling of Geothermal Energy Reservoirs

Leibniz-Rechenzentrum der Bayerischen Akademie der Wissenschaften

Garching bei München

Hybrid

EUR 50.000 - 70.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading research center in Munich is seeking a qualified researcher for developing HPC simulation software aimed at evaluating geothermal energy usage. Candidates should have a Master's degree or PhD in a relevant field, along with proficiency in Linux and one programming language, ideally Python. The position offers flexible working hours, up to 60% mobile work, and comprehensive benefits including 30 days of annual leave and ongoing training opportunities.

Leistungen

JobBike
Pension plan of the VBL
Flexible work schemes

Qualifikationen

  • Master's degree (with thesis) or PhD in computer science, geology, hydrology, environmental sciences or any natural science.
  • Ability to work independently on scientific projects.
  • Some familiarity with CI/CD practices.

Aufgaben

  • Collaborating with researchers to develop HPC simulation software.
  • Supporting and maintaining software on high performance computing systems.
  • Organizing research data management for simulations.

Kenntnisse

Linux command line proficiency
Fluency in Python
Scientific modeling/simulation
English (C1)
German (A2)

Ausbildung

Masters degree or PhD in relevant fields

Tools

Git, GitLab, GitHub
High Performance Computing (MPI)
Database systems
Jobbeschreibung
Role and Responsibilities
  • Collaborating with university researchers in developing a HPC simulation software set‑up for simulating reservoirs of shallow and deep groundwater resources for the evaluation of geothermal energy usage in the southern part of Bavaria.
  • Support and maintenance of the specially tailored software stack on LRZs High Performance Computing systems.
  • Help organize the research data management for data inputs of the model and simulation results.
  • Participate in developing, adapting, and testing machine learning algorithms for making projections of groundwater flow using training data generated by the HPC simulations.
Basic Qualifications
  • Masters degree (with thesis) or PhD in computer science, geology, hydrology, environmental sciences or any natural science.
  • Knowledge of Linux and fluency on the Linux Command Line (bash).
  • Fluency in at least one further programming/scripting language (preferably Python).
  • Basic familiarity with scientific modelling/simulation.
  • C1 level knowledge of English.
  • A2 level knowledge or higher of German.
  • Ability to work independently on scientific projects.
Preferred Qualifications
  • Experience with High Performance Computing (e.g. MPI).
  • Familiarity with git / gitlab / github.
  • Familiarity with geological or hydrological model generation (e.g. PFLOTRAN, FEFLOW, ModFlow, Petrell, Golem, Moose, SHEMAT‑Suite).
  • Basic knowledge of CI/CD.
  • Familiarity with database systems.
  • Basic knowledge of package/module management systems (e.g. spack).
Conditions
  • Area: Research and Development.
  • Working time: full time (40 hrs) / part‑time possible.
  • Flexible working model with electronic time recording.
  • Term of the contract: 31.12.2027 a further employment is intended.
Remuneration

up to E 13 see Entgelttabelle TV‑L

Annual Leave

30 days (24.12.31.12. additionally day off)

Further Trainings

Individual support for in‑service training and further education.

Mobile Work

up to 60% of work time when applicable.

Benefits

JobBike bus and subway (U6) on the doorstep, free parking, pension plan of the VBL, state‑of‑the‑art work equipment.

What can you find with us

We offer flexible work schemes for an optimal work‑life balance, a collegial appreciative work environment, and all the benefits of public service. Diversity is actively promoted and applications from talented individuals regardless of cultural background are welcome.

Application Deadline

We are looking forward to receiving your complete application documents (cover letter, CV, certificates) in a PDF file by latest 18.11.2025.

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