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Postdoc in Technician Routing and Dispatching
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Thursday 10 Jun 21
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Apply no later than 8 July 2021
Apply for the job at DTU Management by completing the following form.
Field service technicians at TDC NET drive approximately 80,000 kilometres
every day, the equivalent of circling the Earth twice. Project GREENFORCE will
improve the efficiency of field service by developing a software platform that
will optimize demand management, remote resolution, and routing. The platform
will decrease kilometres driven by technicians, thus decreasing cost and CO2
emissions. GREENFORCE is a partnership between DTU Management, DTU Compute,
Softwarehouse Qampo, and TDC NET, Denmark's biggest supplier of digital
The project will use a combination of Artificial Intelligence (AI), Machine
Learning (ML), and Operations Research (OR), which is denominated as
Decision Science. The objectives are: (1) Improved predictive maintenance by
using ML to forecast component lifetime, (2) Enhanced remote resolution
using AI to identify problem and chat-bots to support diagnostics and self-
resolution, and (3) Optimal route planning and task scheduling to reduce
driving time and increase service level.
Responsibilities and tasks
We are looking for an ambitious candidate for a Postdoc project (2-year,
full-time) to focus on development of a technician routing and dispatching
algorithm that can handle a much longer time horizon than currently
manageable. The task is a question of matching the technician with the right
skill set to solve the problem within a given timeframe, while minimizing
driving distance. Planning with a long time horizon generally leads to more
efficient schedules and a higher service level for the customers. However, in
order to handle the big data in real-time, it is necessary to develop fast and
robust algorithms. The algorithm should also provide feedback to the
prediction part and remote resolution part. Focus will be on fast prototyping
approaches, and efficient solution methods. The Postdoc will be hosted at DTU
You will be responsible for developing a fast technician routing and
dispatching algorithm, enabling real-time planning of tasks over a multi-
The goal is to extend technician routing to handle uncertainty, dynamic
changes, and optional tasks.
Your solution methods could include (meta)heuristics, decomposition
methods, and AI.
We will be using a prototyping approach with short sprints having well-
Results will be evaluated on real-life data, and presented at leading
You will be part of an academic team of 2 PhD students and 2 Postdoc's
(with DTU Compute).
You will collaborate closely with decision scientists at Qampo and TDC
NET, including a co-location with the partners in either Copenhagen or
Århus, depending on your preference.
Candidates should possess a relevant PhD and have conducted research in
transport or scheduling.
The successful candidate should have a PhD in operations research or
The successful candidate should have experience in developing algorithms
for hard combinatorial optimisation problems.
Some experience in routing and dispatching algorithms is an advantage.
You should know MIP-models and how to solve them with CPLEX / Gurobi
Some basic knowledge about machine learning and AI would be good, to
improve collaboration with other work packages
Good programming skills
Passionate for research and pushing the scientific frontier
Excellent collaboration skills
Fluent in English, spoken as well as written
DTU is a leading technical university globally recognized for the excellence
of its research, education, innovation and scientific advice. We offer a
rewarding and challenging job in an international environment. We strive for
academic excellence in an environment characterized by collegial respect and
academic freedom tempered by responsibility.
Salary and appointment terms
The appointment will be based on the collective agreement with the Danish
Confederation of Professional Associations. The allowance will be agreed upon
with the relevant union. The period of employment is 2 years.
You can read more about career paths at DTU here .
Further information may be obtained from Professor David Pisinger (DTU),
tel.: +45 4525 4555, email: email@example.com, or Head of advanced analytics
Kristian Edlund (TDC NET), tel.: +45 2091 6758.
You can read more about DTU Management at www. ms.man.dtu.dk.
If you are applying from abroad, you may find useful information on working in
Denmark and at DTU at DTU – Moving to Denmark.
Your complete online application must be submitted no later than 8 July
2021 (Danish time). Applications must be submitted as one PDF file
containing all materials to be given consideration. To apply, please open the
link "Apply online", fill out the online application form, and attach all
your materials in English in one PDF file. The file must include:
Application (cover letter)
Academic Diplomas (MSc/PhD)
List of publications
A research statement (2-3 pages) explaining your ideas and relevant
Applicants not providing all the above material will not be considered.
All interested candidates irrespective of age, gender, disability, race,
religion or ethnic background are encouraged to apply.
The department conducts world-leading research in the intersection between
management, technology and economics - in close cooperation with companies and
public authorities. The Management Science division develops methods and tools
to effectively manage the challenge complex decision making in organisations,
companies and production and service systems. Operations Research (OR) is
the discipline of applying advanced analytical methods to help make better
decisions. By using techniques such as mathematical modeling to analyze
complex situations, OR delivers executives the power to make more effective
decisions and build more productive systems. OR is an essential part of the
data science and analytics agenda.
Technology for people
DTU develops technology for people. With our international elite research and
study programmes, we are helping to create a better world and to solve the
global challenges formulated in the UN's 17 Sustainable Development Goals.
Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and
create value using science and engineering to benefit society. That vision
lives on today. DTU has 12,900 students and 6,000 employees. We work in an
international atmosphere and have an inclusive, evolving, and informal working
environment. DTU has campuses in all parts of Denmark and in Greenland, and we
collaborate with the best universities around the world.