[Job-offers-cs] Postdoc of Maritime Optimization

[Pekka Orponen]

-------- Forwarded Message --------

Subject: 	[DMANET] Postdoc of Maritime Optimization
Date: 	Tue, 7 Mar 2023 14:23:16 +0000
From: 	Dario Pacino via dmanet <dmanet at zpr.uni-koeln.de>
Reply-To: 	Dario Pacino <darpa at dtu.dk>
To: 	dmanet at zpr.uni-koeln.de <dmanet at zpr.uni-koeln.de>



Department of People and Technology, Roskilde University, invites 
applications for a position as postdoc of Maritime Optimization from 
1/5/2023 or as soon as possible thereafter. The position as postdoc is 
limited to a period of 1 year.

As postdoc of maritime optimization, you will be joining the team of 
researchers working on the ROROGREEN project. ROROGREEN aims at marking 
the RoRo shipping industry more sustainable though the used of 
data-driven decision making. In particular, you would be working with 
real-time stowage planning for trailer-based RoRo vessels. Stowage 
planning is the process of assigning cargo trailers a position into the 
vessel. The arrangement of cargo is restricted by vessel stability 
constraints, and cargo arrival times are uncertain, and should be 
optimized as to maximize cargo intake and minimize emissions (by 
reducing ballast water).

As part of the ROROGREEN project you will be under the supervision of 
Assoc. Prof. Line Reinhardt and Assoc. Prof. Dario Pacino. Moreover, you 
will have a chance to collaborate with project partners from Roskilde 
University, Southern Denmark University, and the Technical University of 
Denmark. The project is based on a collaboration with DFDS A/S, the 
largest Danish RoRo shipping company.

Responsibilities and tasks:
The postdoc’s work will include research within the forecasting of cargo 
arrivals, and the implementation of a dynamic (online/real-time) 
algorithms for the RoRo stowage planning problem.

The ideal candidate is expected to:
• implement forecasting algorithms to estimate cargo arrivals,
• implement heuristic algorithms for real-time decision making,
• implement monte-carlo simulations to evaluate algorithms’ efficiency.

Qualifications:
Applicants must hold a PhD or equivalent within operations research. 
Qualifications within the following scientific areas are required:

• metaheuristics,
• mathematical modelling (mixed-integer programming),
• proficiency in programming (more than just Python is preferred).

The ideal candidate shall be enterprising and possess good communication 
skills, be visible and involved in the department’s daily activities, in 
addition to being willing to engage in disciplinary and 
interdisciplinary collaboration across the department.

Apply here: 
https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1310&ProjectId=146882&DepartmentId=18971&MediaId=5&IsAdPreviewRequest=true&AdvertisementId=100605>
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