Doktorander till WASP forskarskola

Lunds universitet grundades 1666 och rankas återkommande som ett av världens 100 främsta lärosäten. Här finns 42 000 studenter och 7 400 medarbetare i Lund, Helsingborg och Malmö. Vi förenas i vår strävan att förstå, förklara och förbättra vår värld och människors villkor.

Lunds Tekniska Högskola, LTH, är en teknisk fakultet inom Lunds universitet med forskning av hög internationell klass och stora satsningar på pedagogisk mångfald.



Wallenberg Autonomous Systems and Software Program, WASP, är Sveriges hittills största enskilda forskningsprogram inom ingenjörsvetenskap, se http://wasp-sweden.

org/. Programmet fokuserar på autonoma system i samarbete med människor som anpassar sig till omgivningen med hjälp av sensorer, information och kunskap. Detta möjliggörs till stor del av programvara.

Lunds Universitet erbjuder nu upp till sju WASP doktorandtjänster kopplade till  följande sju forskningsprojekt. Samtidigt erbjuder de andra universiteten inom WASP: KTH, Chalmers, Linköpings Universitet och Umeå Universitet, upp till 24 WASP doktorandtjänster, dvs totalt upp till 31 doktorandtjänster. Du kan söka till högst två av dessa 31. Om du söker till två så skall dina val rangordnas.

DOKTORANDPROJEKT 

Project LU1: Efficient Learning of Dynamical Systems
Research subject Automatic Control (Reglerteknik)
The project goal is to learn complex dynamical models through algorithms that trade the cost of “exploration” with the future benefits of improved system knowledge. The  project combines control theory, signal processing, machine learning and statistics.
Supervisor: Professor Bo Bernhardsson, Department of Automatic Control
Contact info: Phone +46 46 2228786, Email: bob@control.lth.se
Additional information: http://www.control.lth.se/wasp/learndynsys



Project LU2: Event-Based Information Fusion for the Self-Adaptive Cloud
Research subject Automatic Control (Reglerteknik)
Successful self-adaptive resource provisioning in the cloud relies on accurate tracking of workload variations and timely detection of changes in the infrastructure. The project will develop novel, event-based estimation techniques for information fusion in cloud server systems based on Monte Carlo-based inference methods. Applicants should have a strong interest in control theory and mathematical statistics.
Supervisor: Associate Professor Anton Cervin, Department of Automatic Control
Contact info: Phone +46 46 2224475, Email: anton.cervin@control.lth.se
Additional information: http://www.control.lth.se/wasp/fusion/



Project LU3: Secure Software Update Deployment in Autonomous Systems
Research subject Electrical Engineering (Elektroteknik)
The project will focus on the software update process, as a response to new vulnerabilities, for autonomous systems. This includes tools and methods for evaluation of potential vulnerabilities and methods for deploying updates, e.g., blockchain based PKIs, DoS mitigation and confidentiality protection for the deployed software.
Supervisor: Associate Professor Martin Hell, Department of Electrical and Information Technology
Contact info: Phone +46 46 2224353, Email: martin.hell@eit.lth.se
Additional information: http://www.eit.lth.se/wasp-sec



Project LU4: Design, Optimization and Control of Self-Driving Networked Systems
Research subject Electrical Engineering (Elektroteknik)
Self-driving and autonomous networked system are envisioned to form the essential infrastructure for mission-critical services in various IoT and edge cloud scenarios, for example, smart cities and autonomous vehicles. The project requires excellent programming skills and interest in mathematics, telecommunications, control theory, machine learning, and system modelling.
Supervisor: Professor Maria Kihl, Department of Electrical and Information Technology,
Contact info: Phone +46 46 222 9010, Email: maria.kihl@eit.lth.se
Additional information: http://www.eit.lth.se/wasp-selfdriving/



Project LU5: Testing Autonomous Control-Based Software Systems
Research subject Automatic Control (Reglerteknik)
In this project the candidate will evaluate strategies to test self-adaptive software where the adaptation layer is realized with control theory. Testing includes all aspect of the software behavior and the adaptation layer.
Supervisor: Associate Professor Martina Maggio, Department of Automatic Control
Contact info: Phone +46 46 2224785, Email: martina.maggio@control.lth.se
Additional information: http://control.lth.se/wasp/testing/



Project LU6: Deep People: Learning Integrated Visual Human Sensing Models
Research subject Mathematics (Matematik)
The topic is to explore visual human sensing methods based on large scale deep learning techniques. We seek spatial and temporal models that integrate person localization, pose estimation, as well as action and intent recognition based on images and video data with applications in robotics, entertainment and virtual reality, among others.
Supervisor: Professor Cristian Sminchisescu, Department of Mathematics, Faculty of Engineering, Lund University
Contact info: Phone +46 46 222 34 98, Email: cristian.sminchisescu@math.lth.se
Additional information: http://www.maths.lth.se/people/math-csu/



Project LU7: AI Reasoning for Situation Understanding in Human-Robot Interaction
Research subject Computer Science (Datavetenskap)
The project focus is situation understanding for robot systems that interact with humans in a mixed-initiative setting. Example problems include detection of ambiguities in the user behavior and assessment of unexpected and ambiguous situations. Machine learning and pattern classification techniques will be combined with reasoning mechanisms, potentially including defeasible reasoning.
Supervisor: Associate Professor Elin A. Topp, Department of Computer Science
Contact information: Phone: +46 (0)46 222 4249, Email: Elin_Anna.Topp@cs.lth.se
Additional information: http://cs.lth.se/Elin_Anna_Topp/phd-project

Information om behörighet, bedömningsgrunder, villkor och instruktion för ansökan https://lu.mynetworkglobal.com/se/what:job/jobID:148561/

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