Internship (m/f/d) - Globally Optimal Solution of a specific Nonlinear Optimization Problem

Key responsibilities

The work model for the role is: #LI-Hybrid

You will be mainly accountable for:

• You contribute to ongoing research activities on the global solution of a specific parametric nonlinear optimization problem.
• You implement solution methods for the problem of interest in object-oriented code while keeping an eye on computational performance.
• You use state-of-the-art solvers to create benchmarks.
• You drive an independent work task.

Qualifications for the role

• You are currently enrolled in a master's program in Mathematics.
• You have a background in non-linear optimization and are familiar with corresponding solution algorithms.
• You have programming experience in an object-oriented language (e.g. Python, C/C++).
• You have a good command of written and spoken English.
• You enjoy engaging with advanced mathematical problems and deriving solutions.
• You show readiness to tackle difficult problems, above-average motivation to implement and test developed models and algorithms, and proactiveness to come up with new ideas on how to overcome possible challenges.

Interested in joining our team? We are looking forward to receiving your complete application (CV, Cover letter, Transcript of records) through our online tool. In the case of equal suitability, people with severe disabilities and their equals are given preference.

ABB AG

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