Postdoc in Technician Routing and Dispatching

Technical University of Denmark


July 8, 2021


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Postdoc in Technician Routing and Dispatching

DTU Management

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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 infrastructure.

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 Management.

  • You will be responsible for developing a fast technician routing and dispatching algorithm, enabling real-time planning of tasks over a multi- day horizon.
  • 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- defined goals
  • Results will be evaluated on real-life data, and presented at leading conferences
  • 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.
  • Qualifications 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 algorithms/optimization.
  • 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
  • We offer 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 Further information may be obtained from Professor David Pisinger (DTU), tel.: +45 4525 4555, email:, or Head of advanced analytics Kristian Edlund (TDC NET), tel.: +45 2091 6758.

    You can read more about DTU Management at www.

    If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

    Application procedure 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)
  • CV
  • Academic Diplomas (MSc/PhD)
  • List of publications
  • A research statement (2-3 pages) explaining your ideas and relevant literature
  • 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.

    DTU Management 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.