Faculty of Engineering, LTH, Matematikcentrum (Mathematics LTH)

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 42 000 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 smart systems

Research subject
Mathematics

Job assignments
The doctoral students positions are mainly devoted to postgraduate studies (80% of the time), but include 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.

The development of computer vision, machine learning and robotics has come a long way but there remains a lot of work to merge the technologies into a functioning integrated system to give us truly smart robots. The use of robotic computer vision today is limited to very specific scenarios or controlled laboratory environments. In the interdisciplinary project Semantic Mapping and Visual Navigation for Smart Robots, which recently has received funding from the Swedish Foundation for Strategic Research, we rely on expertise from computer vision, machine learning, automatic control and optimization in order to take the current state-of-the-art in autonomous systems to the next level of perception, cognition and navigation, and towards key capabilities of robots able to effectively act in the real world.

For demonstration, the project will develop an autonomous system for the visual inventory inspection of a supermarket using small-scale, low-cost quadcopters. The system will provide a complete solution for visual navigation and 3D mapping where not only scene geometry is modelled, but also semantic constraints are integrated. The research is relevant for many industrial applications, such as self-driving cars, unmanned ground vehicles, scene modeling and inspection in general.

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. The position also includes undergraduate teaching.

Eligibility
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,
or
- 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.

Bases 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
First day of employment 2016-09-01
Salary Monthly salary
Number of positions 1
Working hours 100 %
City Lund
County Skåne län
Country Sweden
Reference number PA2016/1742
Contact
  • Karl Åström, +46462224548
  • Anders Heyden, +46462228531
  • Carl Olsson, +46462228565
Published 20.May.2016
Last application date 03.Jun.2016 11:59 PM CET

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