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PhD position in Transport, Logistics, Operations Management – MAGPIE project – ERIM, Netherlands

Erasmus Research Institute of Management (ERiM), The Netherlands

As part of a large European project on sustainable ports, we offer a PhD position in smart and sustainable transport within ports, at within the Technology and Operations Management department of the Rotterdam School of Management, Erasmus University (RSM).

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General Info

Position: PhD Position
No. of Positions: 1
Research Field: , , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 3 Yeras
Salary: According to the standard norms

Workplace:
Department of Technology and Operations Management
Erasmus Doctoral Programme in Business and Management
Erasmus Research Institute of Management (ERiM)

Rotterdam, ,

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Qualification Details

  • The candidates should have an interest in the challenges faced by logistical companies in their transition towards a more sustainable operation. He or she should have a quantitative orientation towards problem solving. The candidate should also be open to collaborating with the industry partners within the project;
  • Preferred background: MSc. in Operations Research, Applied Mathematics, Industrial Engineering, Supply Chain Management, Econometrics, Computer Science or Business Analytics;
  • Excellent study record;
  • Programming experience;
  • International orientation and the capacity to speak and write in English fluently;
  • Commitment and drive to execute excellent PhD Research.

All application documents required by ERIM can be found here: https://www.erim.eur.nl/doctoral-programme/phd-in-management/admissions/application/

Below are the test scores required by ERIM:

- GMAT/GRE scores above the 85th percentile, not older than 5 years

- IELTS/TOEFL test scores, not older than 2 years:

IELTS: minimum overall band score 7.5; no section score lower than 6.5

Internet-based TOEFL: minimum total score 100, no section score lower than 23

Paper-based TOEFL: minimum score 600

Responsibilities/Job Description

This project develops and uses quantitative research methods based on operations research, econometrics, and machine learning to optimize the transportation within ports. This can include Linear Programming, Simulation, and Queueing theory.

In the project, we collaborate with multiple industry partners and knowledge institutes in the consortium. We expect that there will be extensive collaborations with TNO and the RSM-Business Information Management group, both of which being in the same work packages. Furthermore, to strengthen your international profile, we strongly encourage our Ph.D. students to go abroad for a research visit during their third or fourth year at one of the top universities for 3 to 6 months.

As a PhD 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 PhD dissertation will be defined by the student with inputs from the advisors, and thus requires creativity, self-direction, and a passion for scientific inquiry.

How to Apply?

Online Application through "Apply Now" Button from this page

Reference Number: -
(If any, use it in the necessary place)

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Documents Required

Documents required to complete the online application process

About the Project

This PhD project is part of a large European project on sustainable ports. Within this MAGPIE project, a consortium consisting of 4 ports (Rotterdam, 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 digitalization, automation, and autonomy to increase transport efficiency. This project accelerates the introduction of green energy carriers combined with realization of and logistic optimization 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 decarbonization by 2050 by providing solutions that can be implemented immediately to make significant steps in decarbonization already by 2030.

Within this MAGPIE project, this PhD project focusses on smart and green logistics within the port. The research has three main components: 1) the development of planning and execution concepts for autonomous and electric barges for inter-terminal transportation, 2) the demonstration of the use of electric driving with heavy duty trucks, 3) the development of an integrated DSS to optimize the mode choice within the port.

1.   Autonomous barge

This research aims at the development of collaborative planning and execution concepts for autonomous electric barge to coordinate (1) terminal approach - last mile; (2) kiss-and-ride transshipment; and (3) terminal operations. The terminal approach includes navigational aspects of waiting areas for autonomous barges, while considering the design of the barge. Transshipment involves Kiss&Ride or Touch&Go Ship concepts where the final approach to and departure from the berth is synchronized with terminal planning and execution.

2.  Green connected trucking

The main goal in this part of the project is to demonstrate the use of three different logistical concepts to make freight transportation by road to and from the port more sustainable: (1) electric driving with heavy duty trucks (battery-electric and hydrogen) in combination with (2) the use of a decoupling point in the port area and supported by (3) automated docking for recharging of unmanned electric trucks. The research will show how these concepts and technologies can be applied in the best possible way to reduce emissions and improve efficiency and reliability of freight transport by road.

3.  Green logistics DSS

This task will deliver an integrated DSS that enables the port to deploy and manage their operations in a more efficient, reliable, environmentally sustainable, and less energy consuming manner. Based on a synchro-modality concept, discrete event simulation, in combination with optimization, will be used at the tactical and operational levels, to evaluate and optimize design decisions and operations planning and scheduling. Sustainability, energy efficiency, CO2 emissions, as well as other environmental impacts (noise and atmospheric pollution), and renewable and green energies usage will be the main objectives for the DSS.

About the Department

This PhD project is carried out within the Technology and Operations Management department of the Rotterdam School of Management, Erasmus University (RSM). As a PhD student at RSM, you will also be part of the doctoral programme in Business and Management offed by the Erasmus Research Institute of Management (ERIM).

The department of Technology and Operations Management combines scientific ambition and rigor with practical relevance. The focus of our research and education is to understand and improve the design, manufacturing, and distribution of products and services in a digitizing world. Our engaged scholars develop scientific knowledge and prepare students, academics, and business people to be critical, creative, caring and collaborative thinkers and practitioners.

Rotterdam School of Management, Erasmus University is one of Europe’s top 10 business schools. RSM provides ground-breaking research and education furthering excellence in all aspects of management and is based in the international port city of Rotterdam – a vital nexus of business, logistics and trade. RSM’s primary focus is on developing business leaders with international careers who can become a force for positive change by carrying their innovative mindset into a sustainable future. Our first-class range of bachelor, master, MBA, PhD and executive programmes encourage them to become critical, creative, caring and collaborative thinkers and doers.

The Erasmus Research Institute of Management (ERIM) is the joint research institute of the Rotterdam School of Management, Erasmus University (RSM) and the Erasmus School of Economics (ESE). The research undertaken by ERIM is focused on management of the firm in its environment, its intra- and interfirm relations, business processes, strategies, finances, consumers, markets and their interdependent connections. Since its founding in 1999, the objective of ERIM is to carry out first-rate research in management and to offer an advanced doctoral programme in Business and Management.

The Erasmus Doctoral Programme in Business and Management is a highly advanced international programme designed to train future researchers. The English-taught programme includes systematic coaching and academic and personal development from leading academics. Within ERIM, over 350 senior researchers and PhD candidates are active in five research programmes, spanning all areas of management research. From a variety of academic backgrounds and expertise, the ERIM Community is united in striving for excellence and working at the forefront of creating new business knowledge.

About the Employer:

Note or Other details

ERIM offers fully-funded and salaried PhD positions, which means that accepted PhD candidates become employees (promovendi) of Erasmus University Rotterdam. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (CAO).

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Contact details

Interested candidates are invited to visit the ERIM PhD in Management website (http://www.erim.eur.nl/doctoral-programme/) for information about application procedures and criteria. The application deadline is 1 December 2021. We encourage applicants to submit as early as possible as we will evaluate applications as they come in.

If you have any questions about the formal admission requirements, please contact the ERIM doctoral office: phdadmissions@erim.eur.nl or contact Dr. Pieter van den Berg (vandenberg@rsm.nl).

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