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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.
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. This position is funded in part under the European Research Council Consolidator grant SEED. Funding is available for a period of up to 2 years.
The research aims to design generally applicable methods for visual feature extraction based on hierarchical (deep) architectures as well as large-scale numerical optimization and machine learning techniques with a general demonstrator emphasis towards dynamic scene understanding -- relational models of visual scenes containing people interacting with objects.
Depending on the interest and strengths of the candidate the work can focus on one (or several) of the following aspects: numerical optimization and machine learning algorithms including deep learning and reinforcement learning, 2d or 3d modeling, hierarchical feature extraction, computational visual attention mechanisms, semantic segmentation, object recognition and image categorization.
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.
Subject
Mathematics with focus on Computer Vision and Machine Learning
Work duties
The main duties involved in a post-doctoral posistion 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.
Detailed description of the work duties, such as:
Based on the interest of the candidate there would be opportunities for teaching, supervision of degree projects and doctoral student, as well as participation in externally research funded projects.
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.
Additional requirements:
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.
For appointments to a post-doctoral position, the following shall form the assessment criteria:
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.
Terms of employment
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 tidsbegränsad anställning 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
Applications shall be written in English. Please draw up the application in accordance with LTH’s Academic qualifications portfolio – see link below. Upload the application as PDF-files in the recruitment system. Read more:
http://www.lth.se/index.php?id=71223
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | As soon as possible |
Salary | Månadslön |
Number of positions | 1 |
Full-time equivalent | 100 % |
City | Lund |
County | Skåne län |
Country | Sweden |
Reference number | PA2017/3341 |
Contact |
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Union representative |
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Published | 31.Oct.2017 |
Last application date | 21.Nov.2017 11:59 PM CET |