FAQs
What is the main focus of this internship position at Quantagonia?
The main focus is on Mathematical Optimization Modeling & Implementation, where interns will work on understanding real-world decision problems and formulating mathematical optimization models to address them.
What programming languages are required for this position?
Proficiency in programming languages such as Python and C++ is required for this position.
What kind of mathematical optimization problems will I be working with?
You will be working with mixed-integer optimization problems and formulating models like MILP and QUBO.
Are there any specific software tools or solvers I need to be familiar with?
Yes, familiarity with mixed-integer solvers such as Gurobi, CPLEX, or SCIP is preferable.
What are the educational requirements for this internship?
Candidates should be currently pursuing a BSc or MSc in computer science, mathematics, or a related field, preferably with a focus on mathematical optimization or operations research.
What kind of tasks will I be responsible for during the internship?
Interns will assist in designing and implementing optimization algorithms, customizing mathematical optimization algorithms for specific projects, and developing interactive graphical interfaces for showcasing use cases.
Can I work remotely?
Yes, the internship supports a hybrid working model, allowing for remote work, but preferably no more than 1-2 days per week.
Where is the primary workplace for this position?
The primary workplace is in Frankfurt am Main or Munich, Germany.
What benefits do interns receive at Quantagonia?
Interns enjoy a flexible working model, a fair wage, the opportunity to work on cutting-edge research, personal development through a flat hierarchy, and connections with industry experts and other talented individuals.
Is prior experience in quantum computing required?
While prior experience in quantum computing is not explicitly required, a keen interest in the field and willingness to learn is important.