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Automatic Control● Open★ EU-FUNDED⏰ 8 days leftPreview

Doctoral Student in Automatic Control with focus on Datacenter Control

Join an EU-funded MSCA network at Lund University to pioneer AI and control architectures for sustainable datacentres.

Best for:Best for engineers with a strong background in automatic control, machine learning, and optimization seeking an international PhD experience in sustainable computing.

Lund University · Lund, Sweden · R1 · First-stage researcher
More professors at Lund University
Datacenter ControlReinforcement LearningEnergy SystemsThermal ModelingEdge Computing
Deadline
Oct 23, 2026
8 days
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 doctoral position within the Department of Automatic Control, focusing on adaptive grid-interactive edge datacenter fleets. The successful candidate will design innovative control layers and telemetry systems that bridge high-level energy intents with low-level thermal and compute hardware actions. Operating within the European Marie Skłodowska-Curie Action (MSCA) network AEGIS, the role involves collaborative secondments at EPFL and Elisa. The researcher will engage in cutting-edge research, complete postgraduate coursework, and contribute up to 20% to departmental teaching and duties.

Automatic ControlDatacenterAIReinforcement LearningMSCAEdge ComputingPower Systems

What you'll do

  • Conduct independent research within the AEGIS project, authoring publications and presenting findings at international conferences.
  • Design intent languages and control strategies to manage carbon, flexibility, and operational costs in datacentres.
  • Develop online tuning models for power-performance and thermal dynamics using classical control and machine learning.
  • Build practical control software and telemetry systems that translate high-level intents into physical commands while respecting service-level limits.
  • Complete 90 ECTS credits of postgraduate courses locally, nationally, and internationally.
  • Participate in departmental duties and teaching activities, including laboratory supervision and exam management, up to 20% of the position.

Requirements

Degree required: MSc in engineering or corresponding second-cycle qualification with specialization relevant to automatic control

Degree offered: PhD

Language: English; very good oral and written proficiency

Instruction: English

Required skills
  • Knowledge corresponding to university-level basic courses in Automatic Control
  • Strong mathematical background as evidenced by academic transcripts
  • Ability to work independently and formulate complex research problems
  • Strong written and oral communication skills in English
Nice to have
Experience with machine learning and reinforcement learning algorithmsBackground in cloud computing and cloud technologiesFamiliarity with low-level programming and Linux kernel operations
Eligibility
  • Must not hold a doctoral degree at the date of recruitment
  • Must not have lived or carried out main activities (work or studies) 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

Deadline: 2026-10-23

Submit an application written in English through the official recruitment portal before the deadline. Ensure all required academic certificates, a comprehensive CV, and a targeted cover letter explaining your research interests are attached.

Documents required
  • CV
  • Cover letter
  • Study certificates
  • Degree certificates
  • Grade transcripts
  • Reference contact information
↗Apply on site
Lab
AEGIS Research Network
Lund University
AEGIS — Adaptive Grid-Interactive Edge Datacenter FleetsSweden
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