[Job-offers-cs] Assistant Professor in Optimization at DKE, Maastricht University, Netherlands

[Pekka Orponen]

-------- Forwarded Message --------
Subject: [DMANET] Assistant Professor in Optimization at DKE, Maastricht 
University, Netherlands
Date: Thu, 7 Nov 2019 16:56:24 +0000
From: Kelk, Steven (DKE) <steven.kelk at maastrichtuniversity.nl>
To: DMANET at zpr.uni-koeln.de <DMANET at zpr.uni-koeln.de>

Dear all,

The Department of Data Science and Knowledge Engineering (DKE) at 
Maastricht University in the Netherlands is looking for an Assistant 
Professor in Optimization (tenure track).

Full details of the position, and an explanation of how to apply, are 
available here:-

https://www.academictransfer.com/en/287137/assistant-professor-in-optimization-tenure-track/

For your convenience a subset of the information on that page has been 
partially reproduced below, but the academic transfer page remains the 
official source of information for this position.

Kind regards,

Dr. Steven Kelk

http://skelk.sdf-eu.org
https://www.maastrichtuniversity.nl/research/department-data-science-and-knowledge-engineering

==================================================

Assistant Professor in Optimization (tenure track)

Deadline: 31 dec 2019

We are searching for a new colleague in the area of Optimization. Next 
to being embedded in our department at Maastricht University, where you 
will contribute to ongoing research and education, our new colleague can 
increase their research impact via a joint industry position.

* Job description

We are the Department of Data Science and Knowledge Engineering (DKE) at 
Maastricht University, the Netherlands: an international community of 
~50 researchers at various stages of their career, embedded in the 
Faculty of Science and Engineering (FSE). Our department has nearly 30 
years’ experience with research and teaching in the fields of Artificial 
Intelligence, Computer Science and Applied Mathematics. To strengthen 
our team, we are looking for an assistant professor who will work on 
Optimization.

(The Department of Data Science and Knowledge Engineering is growing 
rapidly. This position is one of multiple job openings: you are more 
than welcome to browse through our other vacancies.)

* Assistant professor in Optimization

The focus of this position is on the optimization of all kind of dynamic 
processes, running from industrial production lines to improving 
customer satisfaction in healthcare systems or efficient routing of 
traffic in customer service centers. These days, sensor data and other 
digital measurements allow for almost real-time optimization of these 
processes. Through this position, we want to blend expertise on 
traditional methods from operations research (Markov chains, queueing 
models, systems and control, planning and scheduling) with expertise on 
machine learning and data extraction.

In addition to your research, you will contribute to top-rated education 
in our department. We offer one bachelor’s programme and two master’s 
programmes, all of which are nationally ranked #1 in their category and 
involve a mix of Artificial Intelligence, Computer Science and Applied 
Mathematics.

* Embedding

This position builds on, and benefits from, foundational expertise at 
DKE. Our research centers around nine established themes, which includes 
the theme Algorithms, Complexity and Optimization. Researchers typically 
work on multiple themes at the same time to ensure knowledge transfer 
across (sub)disciplines. Outside of the department, we offer an 
extensive, worldwide network of collaborators in the public and private 
sector, as well as a firm rooting in national and international AI 
networks. Facilities include access to a supercomputer cluster.

This position is offered with the opportunity for a joint-appointment 
with industry. The joint appointment program creates an extra 
opportunity for the candidate to work for part of their time directly 
for a company. If accepted by the candidate and the company, this will 
create multiple benefits for all parties. It allows the candidate to 
have greater impact for their research output via the company, which can 
bring research results to real-life. The candidate can experience 
industrial research and be adequately compensated. Moreover, the 
candidate is in a unique position to help build a close collaboration 
between the university and the company, fostering a collaborative 
environment and creating opportunities for joint PhD research programs.