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Postdoc (f/m/d): Machine Learning for Materials Modeling

Helmholtz-Zentrum Dresden-Rossendorf (HZDR)

Dresden

Vor Ort

EUR 50.000 - 80.000

Vollzeit

Vor 17 Tagen

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Zusammenfassung

Join a vibrant research community at a leading research center focusing on advanced systems understanding. As a Postdoc in Machine Learning for Materials Modeling, you will engage in groundbreaking research, developing scalable machine learning models for materials science applications. This role offers the opportunity to collaborate internationally, mentor junior researchers, and contribute to innovative projects that address significant challenges in materials science. Enjoy a supportive environment that values work-life balance, professional networking, and scientific excellence. This is your chance to make an impact in a dynamic and diverse team.

Leistungen

30 days paid holiday leave
Company pension scheme
Flexible working hours
Mobile working options
Health management offerings
Employee discounts
Employer subsidy for Jobticket

Qualifikationen

  • PhD in a related field required.
  • Experience in machine learning model development and tuning.
  • Proficiency in programming languages like Python and C/C++.

Aufgaben

  • Develop scalable machine learning models for materials science applications.
  • Collaborate with peers and mentor junior members.
  • Generate datasets using first-principles simulations.

Kenntnisse

Python
C/C++
Julia
Machine Learning
Collaboration
Communication Skills

Ausbildung

PhD in Physics
PhD in Computer Science
PhD in Materials Science
PhD in Chemistry

Tools

VASP
QuantumEspresso
CP2K
LAMMPS
Git

Jobbeschreibung

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. We invite you to be part of our diverse and international team at CASUS in Görlitz. The Department of Machine Learning for Materials Design is looking for a Postdoc (f/m/d): Machine Learning for Materials Modeling.

Scope of Your Job

In this role, you will contribute to ongoing research efforts in developing scalable machine learning models for applications in materials science. Your tasks include contributing to the development of the Materials Learning Algorithms software package and applying machine learning models beyond the scope of machine learning interatomic potentials. Target applications include heterogeneous materials and nanoscale electronics.

Your tasks

  • Data Generation: Generate datasets using first-principles simulations software (density functional theory and related codes)
  • Automated Workflows: Utilize automated workflows on high-performance computing systems for efficient data generation
  • Model Development: Develop transferable machine learning models and apply them to answer questions in materials science
  • Collaboration: Collaborate with peers, both within and beyond the research group, on related research topics
  • Mentoring: Supervise and mentor junior group members
  • International Engagement: Collaborate with our international partners
  • Dissemination: Present your scientific findings at academic venues and publish research in peer-reviewed journals

Your profile

  • Completed university studies (PhD) in the field of Physics, Computer science, Materials science, Chemistry, or a related field
  • Proficiency in programming languages (Python, C/C++, Julia)
  • Background in machine learning methods
  • Experience in developing, training, and tuning machine learning models
  • Prior exposure to collaborative software development and version control systems (Git)
  • Experience with electronic structure and molecular dynamics simulation codes (VASP, QuantumEspresso, CP2K, LAMMPS)
  • Motivation to work collaboratively in a team-oriented environment
  • Excellent communication skills

Our 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"

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system.

Apply here Jetzt bewerben

Contact

Team Recruiting

Email: jobs@hzdr.de

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