PhD student in Quantitative Logistics with a focus on efficient and sustainable supply chains

Back to available jobs
Ref LiU-2025-05917

We are now looking for a PhD student in Quantitative Logistics with a focus on efficient and sustainable supply chains. Join an exciting project where you’ll analyze and develop strategies for efficient last-mile deliveries with a focus on climate and flexibility. Using advanced modeling and data analysis, you’ll create solutions that make final deliveries smarter and more sustainable.

Your work assignments

As a PhD student you will work on a research project that aims to achieve efficiency and sustainability in supply chains, with a particular focus on last-mile deliveries. The research project will identify, analyze, and evaluate strategies that can make the last-mile distribution more sustainable than today. You will, for example, analyze different scenarios with mixed vehicle fleets, charging infrastructure, and flexibility in delivery both in terms of time and location. You will use mathematical modelling and big data sets to analyze capacity limitations and different charging conditions, and how different information flows and planning tools should support decisions that enable a sustainable distribution and supply chain.

As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time.

Your qualifications

You have graduated at Master’s level in Transportation Systems, Logistics, Supply Chain Management, Industrial Engineering, Applied Mathematics or other relevant education at master's level with at least 240 higher education credits of which at least 60 higher education credits must be in advanced level on one of the relevant educational areas. Alternatively, you have gained essentially corresponding knowledge in another way. 

The employment requires strong subject knowledge in optimization, mathematical modeling, and quantitative analysis. You are a problem solver who works well with complex issues, understands complicated written material, and produces high-quality documents. Furthermore, you have a solid understanding of numerical data and can solve numerical tasks quickly and easily. Experience in route optimization and strong programming skills are considered an advantage.

You have excellent communication skills in English, both spoken and written. Additionally, you should be able to work independently, be goal-oriented, and possess strong problem-solving abilities. You should also communicate clearly and collaborate effectively with others.

Great emphasis will be placed on personal qualities and suitability.

Your workplace

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world.

You will belong to the Department of Science and Technology (ITN) which is known for its activities in logistics, visualization and organic electronics. We combine academic height with fruitful collaboration with the surrounding society. The position belongs to the division of Communication and Transport Systems (KTS), which is one of the largest environments for research and education in the transport area in the Nordic countries. The operations are conducted within the units Traffic Systems, Quantitative Logistics, Flight logistics, Rail and Public Transport, Mobile Telecommunications, Construction Logistics and Construction Technology. The research is mainly externally funded and is carried out in close collaboration with industry, authorities and society. In undergraduate education, we are responsible for six education programs.

You will belong to the Quantitative Logistics unit, which is part of the Communications and Transport Systems division.

The employment

When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University

The employment has a duration of normally four years’ full-time equivalent. Extension of employment up to five years is based on the degree of teaching and institutional assignment. Further extensions may be granted in exceptional circumstances. You will initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan. 

Starting date by agreement.

This position may come to be a security classified position. If so, security screening including a records check will be carried out before any decision on employment is made.

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 10th of February 2026.

Applications and documents received after the date above will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities.

We look forward to receiving your application!


Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Clas Rydergren

Professor

+46 11 363314

clas.rydergren@liu.se

Emma Törnqvist

HR partner

011-363448

emma.tornqvist@liu.se

URL to this page