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

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Quantagonia

2mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development

AI generated summary

  • You should have a strong grasp of mathematical optimization, experience with mixed-integer solvers, proficiency in Python and C++, and be pursuing a degree in a related field.
  • You will formulate optimization models, assist in algorithm design, implement solutions, and develop interfaces to showcase optimization use cases for real-world decision problems.

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

Do we support remote work?

Yes, we do remote work in a hybrid format, but we prefer an on-site working model with a maximum of 1-2 days remote work per week.

What programming languages do I need to know for this position?

You need to be proficient in programming languages such as Python and C++.

What kind of mathematical optimization models will I be working with?

You will be working with models such as Mixed-Integer Linear Programming (MILP) and Quadratic Unconstrained Binary Optimization (QUBO).

Is there an educational requirement for this role?

Yes, you 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 types of optimization solvers should I be familiar with?

You should have hands-on experience with mixed-integer solvers like Gurobi, CPLEX, or SCIP.

What is the working environment like at Quantagonia?

The working environment at Quantagonia is dynamic and collaborative, featuring flat hierarchies and an open approach to personal development within the team.

What are the benefits of working at Quantagonia?

Benefits include a flexible work schedule, competitive wages, opportunities for personal growth, and the chance to work on cutting-edge research and technology.

Where is Quantagonia located?

Quantagonia is based in Germany, with offices in Frankfurt am Main and Munich.

Is this position for a full-time job or an internship?

This position is for a working student internship in Mathematical Optimization Modeling & Implementation.

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Quantagonia

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.