[DMANET] PhD Position in using OR/ML for Marine Biodiversity Conservation

Open PhD Position (3 years, 100% TV-L E13) on using OR/ML for Marine Biodiversity Conservation!

J.-Prof. Michael Römer I were recently awarded a full PhD position for 3 years in the project "Derivative-Free Decision-Focused Learning for Marine Biodiversity Conservation" from the German Research Foundation (DFG).

What is this project about? Let me partition the title in two and explain each part.

Derivative-Free Decision-Focused Learning: We seek methods for solving optimization problems under uncertainty where a derivative is either unavailable or undesirable to compute. We will use methods from the field of algorithm configuration for this purpose (think AutoML for optimization).

Marine Biodiversity Conservation: We will solve optimization problems to identify areas of the ocean to protect from commercial exploitation using data from partners at the Helmholtz Institute in Oldenburg and elsewhere. The goal is to sustainably balance commercial interests with ensuring biodiversity.

Your profile: You graduated with a masters degree in computer science, operations research, information systems, data science, math, statistics, business, and are interested in operations research and machine learning. You should be a strong programmer for this position, and experience with optimization under uncertainty is a huge plus.

What we offer
1. A very well-funded 3 year PhD position (100%, German TV-L E 13 pay scale)
2. An amazing group of OR/ML oriented colleagues in a mathematically-oriented business faculty.
3. A structured PhD program (BiGSEM -- google it)
4. Chocolate (almost) every Thursday
5. An internationally oriented, English speaking research group

Applications can be submitted here: https://uni-bielefeld.hr4you.org/job/view/3046/research-position?page_lang=en

I look forward to your application!

Kevin

—
Prof. Dr. Kevin Tierney
Bielefeld University
Decision and Operation Technologies Group
Faculty of Business Administration and Economics
Room: U9-116
Tel: +49 (0)521 106 3927

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