Connectionists: postdoc/research scientist positions, machine learning and computer vision, Lund University

[Cristian Sminchisescu]

Post-doctoral/Research Scientist positions at Lund University, with focus on Computer Vision and/or Machine Learning (deadline June 14th,  11:59 PM CET)

== Topic: Several positions are available in the area of computer vision and machine learning, with applications to scene understanding (semantic segmentation, 3d reconstruction, object modeling, active object and action recognition, and image categorization) from images and video data. These positions are funded in part under the European Research Council Consolidator grant SEED. Funding is available for a period of up to 2 years and can be renewed to a maximum of 4 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 generally applicable to perceptual data.

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, statistical models, 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 in high-profile international journals and conferences in computer vision, machine learning, computer graphics or automatic control. We focus on novel theoretical and algorithmic contributions, but also the design of associated proof-of concept prototypes.

== Work duties: The successful candidates will be involved in research along one of the above themes in collaboration with Prof. Cristian Sminchisescu and his group members. The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included (depending on the interest of the candidate), 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/research scientist 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: Very good oral and written proficiency in English. Strong mathematical background, familiarity with scientific programming environments (Matlab, TensorFlow, Caffee) as well as programming languages C/C++/Python.

Applicants for a Postdoc/Research Scientist position must have at least one publication at major computer vision or machine learning top-level international conference of journal including ICCV, CVPR, ECCV, ICLR, ICML, NIPS, PAMI, IJCV, JMLR. 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.

== Application deadline:     14.Jun.2017 11:59 PM CET
== Please apply formally using Lund University’s job application system:

http://lu.mynetworkglobal.com/what:job/jobID:151773/
Postdoktorer i matematik med inriktning mot datorseende och maskininlärning<http://lu.mynetworkglobal.com/what:job/jobID:151773/>
lu.mynetworkglobal.com
Tjänster finns tillgängliga inom datorseende och maskininlärning, med tillämpningar inom scenförståelse (semantisk segmentering, 3D-rekonstruktion, objektmodellering, objekt- och handlingsigenkänning och bildkategorisering) från bilder och video. Tjänsterna kommer delvis att finansieras av



(Applications should not be sent directly to Cristian Sminchisescu as they cannot be formally considered. For inquiries about the position or general expression of interest, prospective candidates are however encouraged to contact cristian.sminchisescu at math.lth.se<mailto:cristian.sminchisescu at math.lth.se>).




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Cristian Sminchisescu, Professor

Mathematical Sciences, Lund University

Office address: Solvegatan 18, Lund

Postal address: Box 118, SE-221 00 Lund, Sweden

Phone: +46 46 222 34 98<tel:+46%2046%20222%2034%2098> Fax: +46 46 222 42 13<tel:+46%2046%20222%2042%2013>

E-mail:Cristian.Sminchisescu at math.lth.se<mailto:E-mail%3ACristian.Sminchisescu at math.lth.se>

Web: http://www.maths.lth.se/people/math-csu/

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