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Working Student - Mathematical Optimization Modeling & Implementation (m/f/x)

  • Internship
    Full-time
    Summer Internship
  • Research & Development
    IT & Cybersecurity
  • Munich

AI generated summary

  • You must understand mathematical optimization, model mixed-integer problems, and program in Python or C++. Currently pursuing a BSc/MSc in computer science, math, or a related field.
  • You will formulate optimization models, assist in algorithm design, customize solutions, and develop interactive interfaces to showcase optimization applications.

Requirements

  • Profound understanding of mathematical optimization concepts and algorithms, with a keen interest in expanding your skills in this area. Among others, you are familiar with modeling mixed-integer optimization problems and common algorithms to solve them.
  • Proficiency in programming languages such as Python and C++, coupled with hands-on experience in utilizing mixed-integer solvers like Gurobi, CPLEX, or SCIP.
  • You are currently pursuing a BSc or MSc and enrolled in computer science, mathematics or a related field, preferably with a focus on mathematical optimization/operations research.

Responsibilities

  • Understand real-world decision problems and formulate mathematical optimization models (MILP, QUBO) to address them.
  • Assist in the design and implementation of optimization algorithms and contribute to customizing mathematical optimization algorithms to meet specific project requirements.
  • Develop interactive graphical interfaces for showcasing mathematical optimization use cases.

FAQs

What is the role of the Working Student in Mathematical Optimization Modeling & Implementation?

The role involves understanding real-world decision problems, formulating mathematical optimization models, assisting in the design and implementation of optimization algorithms, and developing interactive graphical interfaces for showcasing optimization use cases.

What qualifications do I need to apply for this position?

You should be pursuing a BSc or MSc in computer science, mathematics, or a related field, preferably with a focus on mathematical optimization or operations research. Additionally, a strong understanding of mathematical optimization concepts, proficiency in programming languages such as Python and C++, and hands-on experience with mixed-integer solvers like Gurobi, CPLEX, or SCIP are required.

Is prior experience in optimization necessary?

While prior experience is beneficial, a profound understanding of mathematical optimization concepts and algorithms, along with a keen interest in expanding your skills in this area, is essential for the role.

What kind of tasks will I be working on during the internship?

You will be formulating mathematical optimization models, assisting in the design and implementation of optimization algorithms, and developing interactive graphical interfaces to showcase various mathematical optimization use cases.

What are the working conditions for this position?

The position offers a flexible blend of remote and on-site work, with a preference for on-site work in our Frankfurt am Main or Munich offices, allowing for remote work of a maximum of 1-2 days per week.

Are there opportunities for personal growth within the company?

Yes, there are excellent opportunities for personal growth through close connections with founders, industry experts, and top students, alongside an environment that encourages open personal development.

What technology and tools will I be working with?

You will be working with various programming languages, particularly Python and C++, and utilizing mixed-integer solvers like Gurobi, CPLEX, or SCIP in addition to developing interactive graphical interfaces.

Is this position paid?

Yes, the internship offers a fair wage that recognizes your value and contribution to the team.

Can I apply if I am not located in an EU country?

No, when working remotely, you need to be located in an EU country to be eligible for this position.

What is Quantagonia's focus as a company?

Quantagonia is focused on making advanced decision intelligence accessible to companies and reducing barriers to entry through the integration of cutting-edge quantum computing technology, allowing organizations to navigate complex challenges effectively.

It's your decision. Classical and Quantum. Today.

Technology
Industry
11-50
Employees
2021
Founded Year

Mission & Purpose

Quantagonia is a technology company that specialises in quantum computing solutions, focusing on the development of quantum software and hybrid computing systems. Their ultimate mission is to bridge the gap between classical and quantum computing, enabling businesses to harness the power of quantum technology for real-world applications. The purpose of Quantagonia is to provide innovative and scalable quantum computing solutions that enhance computational capabilities, solving complex problems more efficiently than traditional methods. They aim to drive the adoption of quantum technology across various industries, contributing to technological advancement and helping organisations achieve breakthrough performance in data processing, optimisation, and analytics.