Automatic Control

The Department of Automatic Control at Lund University was created in 1965 and has today grown to hosting about 60 people.

We give courses within the regular engineering program to students from different areas of engineering. We also have a PhD program where the students specialize in various theories and applications of automatic control.

Our research is concentrated to seven areas:
Modeling and Control of Complex Systems, Control and Real-Time Computing, Process Control, Robotics, Automotive Systems, Biomedical Projects and Tools.

The department is hosting several large research projects funded by the European Commission and Swedish funding agencies. There is also active collaboration with industry.

Positions for PhD students are announced here, usually around April 1 and October 1.


Open PhD position in Automatic Control within Hemodynamic Modelling and Control available. Welcome to apply online (English version). Last day to apply is October 12, 2018.

Open PhD position in Automatic Control within Machine Learning project (WASP) available. Welcome to apply online (English version). Last day to apply is October 3, 2018. 


Recent Publications

Conference Contribution:
Alexander Fred-Ojala et al: The Berkeley Innovation Index: : A Quantitative Approach to Measure, Track and Forecast Innovation Capability Within Individuals and Organizations. 2019.

Journal Article:
Emmanuel Clave et al: Human thymopoiesis is influenced by a common genetic variant within the TCRA-TCRD locus. 2018.

Conference Contribution:
Tommi Nylander et al: Cloud Application Predictability through Integrated Load-Balancing and Service Time Control. 2018.

Conference Contribution:
Martin Heyden et al: A Structured Linear Quadratic Controller for Transportation Problems. 2018.

Journal Article:
Petar Scepanovic et al: Human genetic variants and age are the strongest predictors of humoral immune responses to common pathogens and vaccines. 2018.

Conference Contribution:
Johan Ruuskanen, Anton Cervin: Internal Server State Estimation Using Event-based Particle Filtering. 2018.

Conference Contribution:
Gustav Nilsson, Giacomo Como: Evaluation of Decentralized Feedback Traffic Light Control with Dynamic Cycle Length. 2018.

Conference Contribution:
Per Skarin et al: Towards Mission-Critical Control at the Edge and Over 5G. 2018.

Conference Contribution:
Viktor Edpalm et al: Camera networks dimensioning and scheduling with quasi worst-case transmission time. 2018.

Conference Poster:
Marcus Thelander Andrén et al: On Event-Based Sampling for LQG-Optimal Control. 2018.