PhD candidate
vor 3 Wochen
Our section is working on understanding the dynamical evolution of the hazardous space radiation environment and developing tools for specification and prediction of the adverse effects of the space environment utilizing machine learning, as well as physics-based models, and data assimilation. Our research will help safely design and operate satellites and maintain ground networks. In our research, we try to bridge our theoretical studies with high-performance tools that can be used in science, predictions, and applications.
Your responsibilities:
The successful candidate should have extensive experience in data analysis and machine learning. Job responsibilities will include a variety of tasks related to scientific programming, including but not limited to:
Perform data processing and analysis Develop and maintain machine learning models of the particle dynamics in the near-Earth space Deploy the developed models for real-time operations Maintain data and code repositories Develop scientific visualizations of the results Conduct scientific research in the field of space physics Attend scientific meetings, including international conferences, and present the results Write manuscripts that will be published in peer-reviewed journals
Your qualifications:
MSc in physics, computer sciences, mathematics or related natural sciences Experience in processing and analyzing large data sets Work experience with IT programming or scientific programming Advanced knowledge of the Python programming language Knowledge of Unix, Mac, and Windows operating systems Experience in maintaining Unix workstations Knowledge of space physics is a plus Ability to work within a team Attention to detail and organizational skills Excellent interpersonal and communication skills Excellent English skills
What we offer:
Ambitious and varied tasks in a dynamic and international research environment State-of-the-art equipment Public service benefits Extensive training opportunities Professional career advice offered by our in-house Career Centre Flexible working hours and conditions Support with finding a good work-life balance offered by benefit@work Institute day-care centre on site Working at the Albert Einstein science park on the Telegrafenberg in Potsdam Work place within walking distance of Potsdam main train station or just a short ride on the shuttle bus Start date: As soon as possibleFixed-term: 3 years
Salary: The position is classed as salary group 13 according to “TVöD Bund (Tarifgebiet Ost)”. The salary group is determined on the basis of the Collective Wage Agreement and the respective personal qualifications.
Working hours: Part-time 75% (currently 29.25 h/week)
Place of work: Potsdam
Have we piqued your interest?
If so, we look forward to receiving your application by 5th May 2024 . Please use our online application form only.-
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