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.

Research subject
Mathematics

Job assignment
The recent development of computer vision, machine learning and robotics has been significant but fundamental advances are still necessary in order to integrate the technologies into a functional high-performance system that can lead to a truly autonomous robot. In this interdisciplinary project entitled 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. Within this framework a doctoral position is available in computer vision (scene understanding with emphasis on visual recognition) and machine learning (large-scale optimization, structured prediction using deep learning, as well as deep reinforcement learning and weakly supervised learning) within the Computer Vision and Machine Learning Group/Mathematical Imaging Group in the Faculty of Engineering, Department of Mathematical Sciences at Lund University (http://www.maths.lth.se/people/math-csu/). The group performs world-class research in computer vision and machine learning and has ongoing collaborations with groups at the University of California at Berkeley, University of Toronto, Georgia Institute of Technology, INRIA, and Google Research.

The position also includes some instruction in basic mathematics education at university level.

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.

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 doctoral candidates should have a strong mathematical background and excellent grades. A record of prior research or prizes in science or computing contests and/or experience in computer vision or machine learning is a plus. Good English language skills are required. The candidates are expected to develop their own ideas and communicate scientific results orally as well as in written form.

Besides detailed CV, statement of purpose, and complete academic record,  the candidate should include one of his/her relevant work such as a bachelor's or master's thesis (or outline of a thesis under preparation) or an article. Incomplete applications will not be considered.

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 PA2016/1718
Contact
  • Cristian Sminchisescu, +46462223498
Published 20.May.2016
Last application date 03.Jun.2016 11:59 PM CET

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