Lunds universitet, Lunds Tekniska Högskola, Matematikcentrum

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.

Doctoral student in Mathematics with focus on computer vision for autonomous systems.

Research subject

Job assignments
The doctoral students positions are mainly devoted to postgraduate studies, but may include up to 20% department service, usually teaching. The research topic for this position is mathematical methods and models within computer vision, image analysis, feature extraction, machine learning, statistical methods, optimization and tracking.

Wallenberg Autonomous Systems Program (WASP) is Sweden's largest individual research program ever, and provides a platform for academic research and education, fostering interaction with Sweden's leading technology companies. The WASP graduate school provides unique opportunities for students who are dedicated to achieving international research excellence with industrial relevance.

The project is funded by Knut and Alice Wallenberg's Foundation within the Wallenberg Autonomous Systems Program (WASP) as a part of the project “Perception, Learning and Verification”, where Lund University, Linköping University, KTH and Chalmers collaborate on research within perception for autonomous systems. Perception is the basis of any interactive autonomous systems. Similarly to humans, artificial systems base their actions on various sensory modalities such as vision, force and torque sensing, range sensing, tactile sensing. Visual scene analysis is essential to enable navigation in dynamic environments shared with humans and containing visual symbols and sign. The main goal of the PhD project is to develop novel methods for scene understanding (in terms of semantic structure from motion) and localization using both vision and other sensors. This typically involve robust estimation techniques, structure from motion estimation and machine learning.


Students with basic eligibility for third-cycle studies are those who
- have completed a second-cycle degree,
- have completed courses of at least 240 credits, of which at least 60 credits are from second-cycle courses,
- have acquired largely equivalent knowledge in some other way, in Sweden or abroad.

It is also required that the student has achieved a level of knowledge in mathematics that corresponds to that of Master of Science programs in Engineering Mathematics or Engineering Physics.

Finally, the student is expected to have programming skills.

The employment of doctoral students is regulated in the Swedish Code of Statues 1998: 80. Only those who are or have been admitted to PhD-studies may be appointed to doctoral studentships. When an appointment to a doctoral studentship is made, the ability of the student to benefit from PhD-studies shall primarily be taken into account. In addition to devoting themselves to their studies, those appointed to doctoral studentships may be required to work with educational tasks, research and administration, in accordance with specific regulations in the ordinance.

Basis of Assessment
The applicant must have good knowledge of mathematics and its applications in engineering, as well as the ability to assimilate new knowledge on the subject and its applications. Experience with applications of mathematics in computer vision, image analysis and machine learning is a plus. Programming experience is a plus.

Type of employment
Limit of tenure, four years according to HF 5 kap 7§.

Type of employment Temporary position longer than 6 months
Salary Monthly salary
Number of positions 1
Working hours 100 %
City Lund
County Skåne län
Country Sweden
Reference number PA2015/3325
  • Karl Åström, +46462224548
  • Anders Heyden, +46462228531
Published 27.Oct.2015
Last application date 30.Nov.2015 11:59 PM CET

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