DegreeStep
PhD · Engineering & Tech

PhD in Automatic Control: datacenter control

Design control systems that steer datacenters towards lower carbon emissions and costs while keeping services reliable, between energy systems and AI infrastructure. Applicants must not have lived or worked in Sweden for more than 12 of the last 36 months.

Where
🇸🇪 Lund UniversitySweden
Deadline
Oct 23, 2026Closes in 17 days
Funding
Salaried doctoral post, 4 years (up to 5 with teaching); SEK 35,900 a month to start
Position
PhDEngineering & Tech

About the position

This post is one of 15 PhD places in AEGIS (Adaptive Grid-Interactive Edge Datacenter Fleets), an EU-funded Marie Skłodowska-Curie doctoral network running from 2026 to 2030. You are based in Lund University's Department of Automatic Control, with two three-month visits to network partners: EPFL in Switzerland and the Finnish company Elisa.

The project joins two fast-growing fields: datacentres and AI infrastructure on one side, energy and power systems on the other. Operators set broad goals such as cutting carbon emissions, but a site's cooling, batteries and computers are controlled at a much lower level. You will build the control layer in between, one that takes a goal and turns it into coordinated actions across the site, using classical control, AI and reinforcement learning.

What you will do

  • Design a way of stating goals around carbon, flexibility and cost, and break those goals down into control actions.
  • Build control software that turns goals into commands, and test it on real data from experiments.
  • Build monitoring that reports spare capacity while keeping services within their agreed limits.
  • Take 90 ECTS credits of doctoral courses, and teach for up to 20% of your time, for example supervising labs.

Who can apply

  • A master's degree, or at least 240 credits of university study including 60 at master's level, or equivalent knowledge gained in Sweden or abroad.
  • An MSc in engineering or similar, with knowledge equal to Lund's basic course in automatic control and a relevant master's specialisation.
  • Strong mathematics, shown in your transcripts, and very good spoken and written English.
  • You must not already hold a PhD.
  • EU mobility rule: you must not have lived, worked or studied in Sweden for more than 12 of the 36 months before you are recruited. Holidays and other short stays do not count.
  • An advantage: machine learning or reinforcement learning, cloud computing, or low-level programming and Linux kernel experience.

What is offered

  • A salary of SEK 35,900 a month to start, rising each year.
  • Full-time, fixed-term employment: four years of doctoral study, extended to match any teaching or department work.
  • Start as soon as possible, and by 1 March 2027 at the latest.
  • Swedish public-sector benefits, including generous annual leave and an occupational pension.

How to apply

  • Apply in English through the university's online application system, linked below.
  • Send a CV and a cover letter explaining why you want this PhD and how the project fits your interests and studies.
  • Add copies of your degree certificates and transcripts showing you meet the entry requirements.
  • Add anything else you want considered, such as reference contacts or recommendation letters.
  • Shortlisted applicants may be asked to do a short test at interview.

Apply on the official posting

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