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Automatic Control● Open★ EU-FUNDEDPreview

Doctoral Student in Automatic Control with focus on Datacenter Control

Join an EU-funded Marie Skłodowska-Curie network to research advanced control systems for edge datacentres and AI infrastructure.

Best for:Best for engineering graduates with strong control theory, machine learning, and optimization backgrounds interested in sustainable computing infrastructure.

Lund University · Lund, Sweden · R1 · First-stage researcher
More professors at Lund University
Datacenter ControlReinforcement LearningPower SystemsThermal ModelingEdge Computing
Deadline
—
Funding
Salaried
SEK 35.9k/mo
Start date
As soon as possible or March 1, 2027 at the latest
Fixed-term
Location
Lund
Sweden

Overview

Lund University invites applications for a 4-year fully-funded PhD position in Automatic Control focusing on datacenter control within the AEGIS European MSCA research and training network. The successful candidate will design innovative control layers that translate high-level intents into coordinated operational actions for physical assets like cooling systems, batteries, and compute hardware. Responsibilities include conducting independent research, authoring scientific papers, completing postgraduate courses, and participating in secondments at EPFL and Elisa. Candidates are expected to combine strong mathematical and control-engineering foundations with a passion for sustainable energy and computing infrastructure.

Automatic ControlMSCADatacentersMachine LearningReinforcement LearningSmart GridsPhD PositionLund University

What you'll do

  • Design an intent language capturing carbon, flexibility, and cost metrics for datacenter operations.
  • Break down high-level operational intents into coordinated low-level control actions for physical assets.
  • Develop and tune online power-performance and thermal models using classical control, AI, and reinforcement learning.
  • Implement control software that translates intents into commands while measuring latency.
  • Build practical control systems and validate them using real-world experimental data.
  • Deploy a telemetry system reporting headroom without violating service-level limits in test scenarios.
  • Author and publish research papers in peer-reviewed venues and present findings at international conferences.
  • Complete 90 ECTS credits of postgraduate courses and participate in departmental teaching and duties for up to 20% of time.

Requirements

Degree required: MSc in engineering or second-cycle qualification equivalent to 240 ECTS credits with at least 60 second-cycle credits

Degree offered: PhD

Language: English; very good oral and written proficiency

Instruction: English

Required skills
  • Knowledge corresponding to course Automatic Control, Basic Course
  • Strong mathematical foundation demonstrated through university transcripts
  • Ability to work independently and formulate research problems
  • Strong written and oral communication skills in English
  • Good collaboration and networking abilities
Nice to have
Strong foundations in machine learning and reinforcement learningExperience with cloud computing and cloud technologyLow-level programming and Linux kernel experience
Eligibility
  • Must not already hold a doctoral degree
  • Must not have lived, studied, or worked in Sweden for more than 12 months in the 36 months prior to recruitment

Funding & terms

Type
Salaried
Amount
SEK 35.9k/mo
Duration
4 years
Programme
AEGIS — Adaptive Grid-Interactive Edge Datacenter Fleets
EU-FUNDEDEuropean Commission (Marie Skłodowska-Curie Actions)

How to apply

Submit your application written in English through the official portal. Ensure your application includes a detailed CV, a cover letter outlining your motivation and background alignment, and official study certificates.

Documents required
  • CV
  • Cover letter
  • Study certificates
↗Apply on site

Contact

Lab
AEGIS Network
Lund University
AEGIS — Adaptive Grid-Interactive Edge Datacenter FleetsSweden
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