L. (Linda) Punt

Linda Punt
Rotterdam School of Management (RSM)
Erasmus University Rotterdam
ERIM PhD Candidate
Field: Logistics & Information Systems
Affiliated since 2022

PhD Track Ph.D. Research in Energy Transition

The MAGPIE consortium, consisting of 4 ports (Lighthouse port Rotterdam, Fellow Ports DeltaPort (inland), Sines and HAROPA), 9 research institutes and universities, 32 private companies and 4 other institutes, forms a unique collaboration addressing the missing link between green energy supply and green energy use in port-related transport and the implementation of digitalisation, automation, and autonomy to increase transport efficiency. This project accelerates the introduction of green energy carriers combined with realisation of and logistic optimisation in ports through automation and autonomous operations. A living lab approach is applied in which technological and nontechnological innovations are developed or demonstrated. All results feed into the Master Plan for the future European green port, aiming at full decarbonisation by 2050 by providing solutions that can be implemented immediately to make significant steps in decarbonisation already by 2030.

We are seeking highly motivated students with demonstrated academic ability, those who possess a commitment to interdisciplinary research on significant information technology and management issues, and those who desire to pursue an academic research career in this field. You will be part of the Business Information Management (BIM) section within the Department of Technology & Operations Management at the Rotterdam School of Management, Erasmus University.

Applicants must have strong quantitative training, with preference given to candidates who have earned an MSc, MPhil or Research Master in economics, computer science, engineering, econometrics, statistics, or a related field. Successful candidates have proficiency with C++, Java, Python, or other programming languages.

As a Ph.D. student, you will gain the training and experience necessary to conduct independent research through course work in information systems, economics, econometrics, machine learning, optimization, and large-scale data analytics. You will work closely with the advisors to define, develop, and execute your own research. The Ph.D. dissertation will be defined by the student with inputs from the advisors, and thus requires creativity, self-direction, and a passion for scientific inquiry.

Energy transition, Sector coupling, Multi-modal transportation, Port, Energy supply-demand matching, Green information systems, Energy informatics
Time frame
2022 -


Visiting address

Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam