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Master Thesis (f/m/x) - Multi-Criteria selection of configurations in Trade-off Analysis

German Aerospace Center (DLR)3 hours agoWorking Student
On-siteEnglish requiredTechAI, ML & Data Science

Required skills

decision theoryPareto optimizationweighted-sumepsilon-constraintMulti-Criteria Decision-MakingPythondigital twinmulti-objective optimizationTOPSIS

Job description

German Aerospace Center (DLR) posted this role. Below, we break down what it means for a working student in Brunswick: your weekly hours, take-home pay and visa limits.

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Description provided by German Aerospace Center (DLR)

The DLR Institute of Software Technology sees software as a catalyst for research and innovation. The institute's staff, currently numbering around 200, make a significant contribution to advancements in the fields of aviation, space, energy, transportation, and security through the development of state-of-the-art software solutions and innovative research.

Our areas of competence include reliable and safety-critical software systems, artificial intelligence, high-performance computing and quantum computing, human-system interaction and visualisation, software and systems engineering as well as digital platforms and digital twins.

What To Expect

During the design of space systems, trade-off analysis is carried out to evaluate conflicting objectives and identify optimal configurations. After configurations are identified, it is still important to understand how and why a configuration should be selected. Multi-Criteria Decision-Making (MCDM) provide methods such as weighted-sum, epsilon constraints, and TOPSIS, to rank and select configurations. This thesis investigates existing MCDM techniques and applies them to configurations derived from an inhouse digital twin tool designed for identifying and analyzing configurations. A prototype will be implemented to evaluate the selected method and recommendatations should be provided.

Your tasks

  • Literature review on existing MCDM methods for ranking and selecting Pareto-optimal configurations
  • Identify common challenges and limitations of these methods when applied to conflicting objectives
  • Select and implement two to three representative MCDM methods (e.g weighted-sum, epsilon-constraint, TOPSIS)
  • Apply the selected methods to sets of Pareto-optimal configurations from case studies and evaluate the methods in terms of its ability to effectively compare configurations

Your profile

  • You are studying in Computer Science, Systems Engineering, or similar courses.
  • You own good knowledge in programming languages, preferably in Python.
  • You have interest in decision theory, multi-objective optimization, or trade-off analysis.
  • And you are a team player with creativity, independence and personal responsibility.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 6111) please contact:

Frank Eric Mbouga

Working student essentials

What this Tech working student role in Brunswick means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.

Weekly hours

Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.

Working student rules

Social contributions

Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.

Check your insurance

International students

Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.

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