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Frontend developer to HR platform with Angular experience
Reach out to us if you are interested in working with us on the project.
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Mathematician / Physicist with Python Experience (m/w/d)
New
Industries
Biotechnology
Education
Information Technology (IT)
Areas
Product Development
Research and Development (R&D)
Project info
- Period17.11.2025 - 31.01.2026
- Capacityfrom 5%
- Daily rate120 - 360€
- Languages Essential:
- German(Advanced)
Desirable:- English(Advanced)
- German
- Remotefrom 99%
Description
For an AI lab we are looking for mathematicians / phycists with python experience to train an AI model (Large Language Model - LLM).
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Biology / Chemistry, you’ll have the opportunity to collaborate on these projects.
Although every project is unique, you might typically:
- Design original computational mathematics problems that simulate real mathematical research workflows.
- Create problems requiring Python programming to solve (using numpy, scipy, sympy).
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
- Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis.
- Base problems on real research challenges or practical applications from mathematical practice.
- Verify solutions using Python with standard mathematical libraries.
- Document problem statements clearly and provide verified correct answers.
Support in:
- Number Theory: Prime factorization, Diophantine equations, modular arithmetic, cryptographic computations.
- Combinatorics: Enumerations, partitions, generating functions, combinatorial optimization.
- Graph Theory: Network analysis, path finding, graph coloring, spanning trees.
- Numerical Analysis: Root finding, numerical integration, differential equations, matrix computations.
- Discrete Mathematics: Recurrence relations, algorithmic complexity, discrete optimization.
- Algebra: Polynomial computations, group theory calculations, matrix decompositions.
Requirements
- PhD or Master's degree in Mathematics or Physics (Pure or Applied).
- Research experience in computational or applied mathematics or physics.
- Publications or projects involving computational problem-solving.
- Expert-level mathematical / physics knowledge across multiple subfields.
- Strong programming skills in Python (numpy, scipy, sympy, networkx).
- Experience with numerical methods and symbolic computation.
- Familiarity with computational complexity theory.
Application Process:
- If you are being selected you will by invited to an interview by Mindrift.
English
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