FAQs
What does the Working Student role involve?
The role involves building and implementing optimization models, collaborating on refining algorithms, and creating interactive tools for decision-makers.
What qualifications are required for this position?
A strong foundation in mathematical optimization concepts, familiarity with Python and C++, and currently pursuing a BSc or MSc in Computer Science, Mathematics, or a related field.
Is experience with specific solvers important for this role?
Yes, experience with solvers like Gurobi or CPLEX is a significant plus.
What type of work environment can I expect?
You will experience a blend of remote and on-site work, allowing for flexibility in your schedule.
Are internships or previous experience necessary to apply?
While previous experience is beneficial, it is not strictly necessary. We welcome applicants who have a strong foundation in the relevant concepts and a passion for learning.
What kind of projects will I work on?
You will work on projects that involve real-world optimization challenges, such as workforce scheduling, global supply chains, and energy-efficient production.
Will I receive mentorship in this role?
Yes, you can expect mentorship from industry leaders, which will support your personal and professional development.
Is this position compensated?
Yes, the position is compensated fairly for your skills and dedication.
How does this role contribute to the company’s mission?
This role contributes by developing accessible AI-powered optimization solutions that help businesses tackle significant planning challenges.
Where is the job location?
The role is based in either Frankfurt or Munich, with flexibility for remote work.