Data-driven optimization for sustainable network design
Using networks to model real-world problems is a powerful tool, as they provide an efficient abstraction that can be used to analyse the structure of the task at hand. Sustainability plays an important role in the design of these networks when considering various optimisation questions. The focus of the research is to analyse the underlying structure of selected real-world problems and design efficient network representations for them. The researcher should maintain state-of-the-art knowledge of the relevant fields, publish research results in high-impact journals, and present research and development at scientific and professional conferences.

Required qualifications:

• PhD in computer science, operations research, applied mathematics, or related area,
• Research record demonstrating expertise in related fields,
• Solid background in algorithm design and discrete optimisation,
• Strong command of at least one major high-level programming language (e.g. C++, Java, Python),
• High motivation to carry out interdisciplinary research projects,
• Excellent communication skills, written and spoken English.

Preferred qualifications:

• Strong operations research background,
• Knowledge of optimization and modelling software,
• Knowledge of simulation software,
• Experience in implementing graph algorithms,
• Experience in grant writing, international project participation,
• Experience implementing and working in interdisciplinary research projects,

The deadline for the submission of applications is April 30th, 2022.

The starting date is negotiable, but preferably no later than October 1st, 2022.

To apply, please send the documents below in electronic format to Prof. Dr. Michaël Mrissa (michael.mrissa@upr.si) with the subject title »UP Postdoc 2022«:

• Curriculum Vitae,
• Publication List,
• Copies of three recent papers of preprints,
• Names and e-mail addresses of at least three persons that can be contacted for reference (and have agreed to be contacted).

All informal inquiries should be addressed to Prof. Dr. Michaël Mrissa (michael.mrissa@upr.si).