Postdoc in Stochastic Optimization for Freight Transport Decarbonization - at Danmarks Tekniske Universitet

Copenhagen, Capital, Denmark -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Stochastic Optimization, Mixed-Integer Programming, Probabilistic Methods, Python, Julia, C++, Sample Average Approximation, Robust Optimization, Monte Carlo Methods, Transportation Modelling, Fleet Planning, Simulation-based Computational Methods

Industry

Research Services

Description

If you are building your career in optimization with focus on robustness and stochastic modelling and want to be at the frontier of one of the defining decarbonization challenges of our time — the shift to battery-electric freight transport — this is your opportunity. At DTU Management's Transport Division, you will join the TEDDY project and develop the next generation of stochastic optimization methods for planning the transition from diesel to battery-electric trucks. You will work directly with Professor Jeppe Rich and Professor Allan Larsen, two leading researchers in the field and contribute original work to an area where deterministic models are no longer sufficient. We are looking for a researcher with a strong background in mathematical optimization — stochastic programming, mixed-integer programming, or probabilistic methods — who wants to apply these tools to one of the most complex and consequential fleet-planning problems of our time. Responsibilities Your overall focus will be to develop stochastic and probabilistic optimization models that help fleet operators and policy makers plan the transition from diesel to battery-electric trucks under uncertainty. You will work with nearby colleagues and with academic and industrial partners in Denmark and abroad. Your primary tasks will be to: * Develop mathematical models for fleet replacement, charging investment, and vehicle technology choice under uncertainty * Design and implement stochastic programming and simulation-based computational methods * Quantify cost, emission, and service-risk trade-offs across uncertain transition scenarios * Analyse where charging infrastructure becomes binding for line-haul logistics networks * Translate optimization outputs into transparent decision rules for operators and policy makers * Publish results in international peer-reviewed journals * Present findings at international conferences and contribute to ongoing project reporting Qualifications You hold a PhD degree in Operations Research, Applied Mathematics, Computer Science, Transportation Modelling, or a closely related field. You have a strong background in mathematical optimization — preferably mixed-integer programming, stochastic programming, or decomposition methods — and solid scientific programming skills in Python, Julia, C++, or similar. You are able to write clearly and publish in English. Experience with Sample Average Approximation, robust optimization, Monte Carlo methods, or large-scale MIP solvers is an advantage, as is interest in freight transport, logistics, or electric vehicles. As a formal qualification, you must hold a PhD degree (or equivalent). 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 terms of employment 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. The position is available from 1 September 2026, or as soon as possible thereafter by agreement. You can read more about career paths at DTU here [http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths]. Further information Further information may be obtained from Professor Jeppe Rich (rich@dtu.dk) or Professor Allan Larsen (alar@dtu.dk). You can read more about DTU Management at www.man.dtu.dk [http://www.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 [https://www.dtu.dk/english/about/job-and-career/moving-to-denmark]. Application procedure Your complete online application must be submitted no later than 15 July 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", 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 – in English) * List of publications * A 1–2-minute video presenting yourself Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. About us DTU Management conducts excellent research at the intersection of management, technology and economics. We develop solutions in close cooperation with companies and public authorities. Our research aims at strengthening welfare, productivity and sustainability. A key element is the role of technology and its interaction with industry and individuals. The department offers a wide range of courses and programs at bachelor, master, and PhD levels across DTU's study programs. The department has 250+ employees with around half of staff coming from abroad. DTU – For the benefit of society since 1829 DTU is one of Europe's leading elite technical universities. Through research and education at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.

Responsibilities

Develop stochastic and probabilistic optimization models to plan the transition from diesel to battery-electric truck fleets. Tasks include designing computational methods, quantifying trade-offs, and publishing results in peer-reviewed journals.