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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 with Python Experience (m/w/d)
Industry
Information Technology (IT)
Areas
Information Technology (IT)
Research and Development (R&D)
Project info
- Period09.02.2026 - 25.04.2026
- 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 with python experience to train an AI model (Large Language Model - LLM).
As consultant, you may be invited to take part in online projects to train the model in your domain of expertise.
This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities.
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 (Pure or Applied).
- Research experience in computational or applied mathematics.
- Publications or projects involving computational problem-solving.
- 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.