The Institute of Space Systems in Bremen designs and analyzes future spacecraft and space missions (launcher, orbital and exploration systems, satellites) and evaluates them with regard to their technical performance and costs. For system design and analysis, it applies many different state-of-the-art methods of multi-disciplinary engineering.
We are looking for a student with experience and interest in the field of machine learning. As part of the work, Bayesian methods shall be applied to identify and quantify uncertainties in the aerodynamic datasets of Reusable Launch Vehicles. Based on previous developments these methods shall be used within the ongoing demonstrator projects CALLISTO and ReFEX to support the determination of the flying qualities.
Within this context we currently offer one possible topic for an internship or a thesis:
Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x).Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.
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