Informationen zur Anzeige:
Working student Research & Development Engineer (m/f/d)
Berlin
Aktualität: 18.06.2025
Anzeigeninhalt:
18.06.2025, T-Systems International GmbH
Berlin
Working student Research & Development Engineer (m/f/d)
Über uns:
T-Systems International GmbH
At T-Systems, we offer business customers the right system solutions for their digital business. With our portfolio we ensure that digital transformation reduces complexity, saves costs and makes day-to-day work easier. We focus on the areas connectivity, digital, cloud & infrastructure as well as security - Let's power higher performance!
Aufgaben:
- We are looking for enrolled students to support our team for up to 20 hours per week for a minimum of 6 to a maximum of 24 months in the following tasks:
- As a working student Research & Development Engineer (Quantum-inspired Optimization) you will be part of our innovative CTO team that is prototyping Quantum(-inspired) Computing offerings and develops pioneering quantum-inspired optimization use cases for our clients
- Together with application-specialists you will analyze and realize potential applications for quantum-inspired optimization in sectors like automotive, public, health and public transport, focusing on the short- or mid-term usability of these advanced optimization methods
- You will contribute to implementation projects with a strong focus on Python development, assist in co-innovation workshops, and help establish standardized optimization services with and for our customers
Qualifikationen:
- You are pursuing a university degree in Applied Mathematics, Computer science, Physics or comparable fields
- Proven Python development skills and experience with relevant libraries (e.g., NumPy, SciPy, Matplotlib, and ideally optimization solvers)
- Basic experience and strong interest in combinatorial optimization, ideally with some experience in quantum-inspired optimization algorithms (e.g., simulated annealing, QUBO models)
- Basic expertise and strong interest in quantum computing
- Basic experience in mathematical methods for optimization, such as linear programming, integer programming, graph theory, and heuristics, is a strong advantage
- First experience in translating industry challenges into underlying, general mathematical models, particularly Quadratic Unconstrained Binary Optimization (QUBO) models, is a strong advantage
- Enthusiasm for advanced optimization technologies and a high motivation to explore new algorithmic approaches
- Competencies in using basic software engineering principles and tools
- Fluency in written and spoken English; good German language skills are a plus
- Strong analytical skills and a strong sense of personal responsibility
Unser Kontakt:
T-Systems International GmbH
Telekom Recruiting Team
Jobs@telekom.de
0800/3306700
Weitere Informationen:
Severely disabled applicants with equal qualification will be given particular consideration.
Fachrichtung
Art des Angebots
Standorte