Post Doctor in Mathematics Computer Vision and Machine Learning

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.

A post-doctoral position is available in the area of computer vision and machine learning, with applications to scene understanding (semantic segmentation, 3d reconstruction, object modeling, object and action recognition, and image categorization) from images and video sequences. The position is funded in part under the European Research Council Consolidator grant SEED and is available for a period of up to 2 years.

The approach is strongly research oriented, targeting contributions to be published in high-profile international journals and conferences in computer vision, machine learning and computer graphics. We focus on novel theoretical and algorithmic contributions, but also the design of associated proof-of-concept prototypes.

The successful candidate will be involved in research along one of the above themes in collaboration with Prof. Cristian Sminchisescu and his group members.

Work duties

The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning.

Qualification requirements

Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the last date for applications. Under special circumstances, the doctoral degree can have been completed earlier.

Assessment criteria and other qualifications

This is a career development position primarily focused on research. The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and potential as researchers. Particular emphasis will be placed on research skills within the subject.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant's experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

Applications should include a complete original academic records, curriculum vitae, a list of publications and the name of 3 senior researchers who might be contacted for reference letters.

This is a full-time, fixed-term employment of a maximum of 2 years. The period of employment is determined in accordance with the agreement "Avtal om tidsbegrnsad anstllning som postdoktor" ("Agreement on fixed-term employment as a post-doctoral fellow") between Lund University, SACO-S, OFR/S and SEKO, dated 4 September 2008.

Instructions on how to apply