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Notice

AISB opportunities Bulletin Item

One Postdoctoral and two PhD positions at IDIAP


Contact: marcel@idiap.ch

The IDIAP Research Institute (www.idiap.ch), associated with the Swiss Federal Institute of Technology in Lausanne (EPFL, www.epfl.ch) seeks qualified candidates for two PhD student positions AND one Postdoctoral position in the field of face recognition and facial features localisation. All positions will be available in January 2008.

The research will be conducted in the framework of a FP7 European project on multi-modal biometric authentication in the context of mobile devices. Biometric authentication is the problem of verifying an identity claim using a person's behavioural and physiological characteristics. This project aims at using jointly, simultaneously, and in a principled way, both the voice signal and the face video of the person in order to assess his/her identity claim.

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One PhD student position on face recognition and model adaptation (Job reference: MOBIO-1)

Model adaptation, also called on-line adaptation, is concerned with maintaining a biometric system when it is deployed over an extended period of time. Because the system may degrade over time, the template (or model) representing the user has to be updated.

The doctoral student will investigate model adaptation techniques for face recognition. A range of fundamental problems in computer vision and biometric authentication, such as object recognition, discovery of invariant visual patterns, and domain-specific problems are also open for investigation.

The ideal PhD candidate will hold a degree in computer science or related fields. She or he should have strong background in statistics, linear algebra, signal processing, C++ programming, Perl and/or Python scripting languages, and Linux environment. Knowledge in statistical machine learning and vision processing is an asset.

The successful PhD candidate will become a doctoral student at EPFL (http://phd.epfl.ch/page55508.html). Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Annual gross salary ranges from 36,000 Swiss Francs (first year) to 40,000 Swiss Francs (last year). Starting date is possibly January 2008.

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One PhD student position on facial features localisation and tracking (Job reference: MOBIO-2)

Facial feature location involves detecting the individual features of the face (eyes, nose and mouth) in order for instance to determine facial activity such as eyes blinking, mouth opened/closed, ``mimics'' or expressions, but also to align the face. Face alignment is often used to refine the face detection process in order to provide a face recognition system with a ``perfectly'' aligned face. Most facial features localisation systems are based on statistical deformable models of shape and/or appearance that can be fitted to an image.

The doctoral student will investigate more detailed statistical models of the shape and appearance, and explore the use of image features which are more invariant to lighting changes. A range of fundamental problems in computer vision, such as object recognition, discovery of invariant visual patterns, and domain-specific problems are also open for investigation.

The ideal PhD candidate will hold a degree in computer science or related fields. She or he should have strong background in statistics, linear algebra, signal processing, C++ programming, Perl and/or Python scripting languages, and Linux environment. Knowledge in statistical machine learning and vision processing is an asset.

The successful PhD candidate will become a doctoral student at EPFL (http://phd.epfl.ch/page55508.html).
Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation.
Annual gross salary ranges from 36,000 Swiss Francs (first year) to 40,000
Swiss Francs (last year). Starting date is possibly January 2008.

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One Postdoctoral position on scalable face localisation and recognition (Job reference: MOBIO-3)

Scalability studies the degradation of the performance of a system while reducing its complexity. The project targets an application where a biometric system is embedded on a mobile device. Unfortunately, it might not be possible to run a complete system solely on the mobile device itself. Indeed, current state-of-the-art systems require large amount of memory to store the face models (so-called templates), and a powerful CPU to execute complex floating point operations. Thus, we intend to study the scalability of a fully automatic face recognition system.

The postdoctoral researcher will investigate novel scalability techniques such as reducing the size of models, down-scaling the precision of the CPU operations or reducing the amount of data (in the case of the user of a video stream for instance). Indeed, the video stream provides more information than a still image and then offers a higher potential for face recognition. However, as video processing is more time consuming, several strategies should be envisaged. A possible strategy is to select from the stream the most appropriate images according to a given criterion. This criterion could take into account, for instance, facial expressions or variations due to environment conditions such as illumination.

Responsibilities of the postdoctoral researcher are the following:
 - Carry out research as stated in the assigned project, follow evolution of project
 - Fulfil project-related assignments (evaluations, deliverables, ..) as requested
 - Publish results
 - If required, participate in project meetings and boards
 - When appropriate, assume leading role as IDIAP contact point or work package leader
 - Help supervise PhD students and interns in collaboration with supervisor(s)
 - Participate in various IDIAP activities and projects as requested by supervisor(s) or IDIAP management

The ideal Postdoctoral candidate should have either a strong background in image analysis or computer vision and machine learning or pattern recognition. She or he should have strong background in statistics, linear algebra, signal processing, C++ programming, Perl and/or Python scripting languages, and Linux environment. The applicant should have good demonstrated skills in written and spoken English. A Ph.D. in a relevant and/or related discipline is a necessity. Experience in face alignment, facial features localisation and 3D face modelling is an asset.

The initial Postdoctoral position is for one year but may be extended by 1.5 years depending on performance and based on application. Annual gross salary depends on the quality of the candidate. Starting date is possibly January 2008.

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IDIAP is an equal opportunity employer and is actively involved in the European initiative involving the Advancement of Women in Science. IDIAP seeks to maintain a principle of open competition (on the basis of merit) to appoint the best candidate, provides equal opportunity for all candidates, and equally encourages both females and males to consider employment with IDIAP.

Although IDIAP is located in the French part of Switzerland, English is the main working language. Free French lessons are provided.

IDIAP is located in the town of Martigny in Valais, a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Montreux (Jazz Festival) and Lausanne.

Interested candidates should send a letter of motivation, along with their detailed CV, electronic transcripts of B.S. and M.S. degrees (for PhD candidates) and names of 3 references to jobs@idiap.ch. Please precise the adequate job reference. More information can also be obtained by contacting Sébastien Marcel (marcel@idiap.ch).