• Literature survey for State-of-the-Art report for DT concepts and implementations in nuclear waste disposal
• Identification of suitable models for major processes of radionuclide migration in the geological environment, as well as respective codes / solvers
• Connecting codes in an interactive way, including data bases, with respective documentations
• Evaluation of DT modules with respect to their efficiency and robustness
• Simulations (proof-of-concept) of radionuclide transport based on the DT and consequence analyses
• Preparation of publications to scientific journals and presentation of results in conferences
• Cooperation within the project partners at KIT and FZ Jülich

• Completed university studies (Master/Diploma) in the field of chemistry, physics, geosciences or computer sciences or related field
• Understanding of computational approaches to large scale simulations
• Basic knowledge of (geo)chemical processes and machine learning will be of advantage
• Expertise in Machine Learning approaches, ideally beyond neural networks
• Good interdisciplinary communication skills
• Excited about working as a team player in a group of multidisciplinary scientists
• Structured and solution-oriented working style, analytical thinking and above-average commitment
• Excellent English skills
• Good programming skills in a high-level data science language (e.g. R/python/julia)

• A vibrant research community in an open, diverse and international work environment
• Scientific excellence and extensive professional networking opportunities
• A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here
• 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: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=74312