Working student Research & Development Engineer (m/f/d)

Company: T-Systems International GmbH
Job ID: 236285
Location: Germany : Berlin : Berlin
Career level: 02 - Students
Experience required: 0-1 years
Employment type:04 - Work-Study Job
Weekly working hours: 20.00
Amount of travel: 0-25%
Languages required: English; German
Application deadline: 07/15/2025

Working student at Telekom.Do you want to put the theory you have learned into practice and experience and help shape the digital world of tomorrow today Then youve come to the right place! We can make coffee and copy it ourselves. We are looking for working students like you who want to advance the expansion of the networked world every day with team spirit as well as a willingness to innovate and perform!

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 - Lets power higher performance!

Your Tasks

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

Your Profile

• 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

Severely disabled applicants with equal qualification will be given particular consideration.

Your contact: Astrid Boanta
Phone:
E-mail: