[image 00392] PhD position @ TUDelft, Deadline January 5

[Ichiro IDE]

Image MLの皆様,

井手＠名大です。

お世話になっております。

さて、以前にも簡単な情報を流しましたが、オランダのデルフト工科大に勤め
る友人から、博士学生（もちろん有給です）の募集がありましたので、転送し
ます。
興味がある方は、直接連絡していただいても結構ですし、私経由で紹介するこ
ともできますので、よろしくお願いします。

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PhD Studentship in Social and Affective Ubiquitous Computing

The Position: 
We are offering a 4 year PhD studentship on social and affective
signal processing for Ubiquitous Computing. The aim of the project is
to devise novel methods of automatically measuring the mood of large,
dense crowds of people in a social setting using wearable sensing
devices. The challenge of developing such methods is that dense crowds
are difficult to monitor because of significant background noise and
faulty wireless communication due to physical density. As a result
many sensor modalities fail. 

This project will focus on the use of a worn accelerometer as a means
of estimating someones activity and social behaviour in a
privacy-preserving manner. The addition of other sensors such as
proximity, audio or video modalities may also be considered. The
project will involve an investigation of the problem domain of
estimating socially relevant behaviour and affective responses at an
individual, group, and crowd level. Findings from social and
behavioural psychology will be used to inspire novel methods for
solving this problem.

The position is jointly funded by the Technical University of Delft
(via the Delft Technology Fellowship) and the VU University of
Amsterdam (via the COMMIT/EWiDS project, see
ewids.distributed-systems.net). It will involve regular contact and
collaboration with the distributed systems group at the VU University
of Amsterdam (Prof. Maarten van Steen), and we expect the student to
be effectively co-located in Delft and Amsterdam.

Applicant Profile:
We are looking students who have recently completed or expect very
soon an MSc or equivalent degree in computer science,
electrical/electronic engineering, applied mathematics, applied
physics, or a related discipline. Experience in some or all of the
following or related fields are preferred: signal processing, image
processing, computer vision, embedded sensing, machine learning, and
pattern recognition. An affinity with behavioural and social
psychology is a bonus. 

The successful applicant will have:
   - good programming skills;
   - curiosity and analytical skills;
   - the ability to work in a multi-disciplinary team;
   - motivation to meet deadlines;
   - an affinity with the relevant social science research;
   - good oral and written communication skills;
   - an interest in communicating their research results to a wider
audience;
   - proficiency in English;

Institution: 
The successful candidate will be embedded within the Intelligent
Systems Department at the Technical University of Delft. The
department works on the development of artificially intelligent
systems that can sense, perceive, learn, reason, elicit and adapt
observations about the world. The department has over 30 staff and
more than 80 postdocs and PhD students and obtained a near perfect
score for its research in the last national evaluations. 
The Pattern Recognition and BioInformatics Group is one of five groups
in the department, consisting of 7 faculty and over 20 postdoc and PhD
students. Within this group, research is carried out in three core
subjects; pattern recognition, computer vision, and
bioinformatics. One of the main focuses of the group is on developing
tools and theories, and gaining knowledge and understanding applicable
to a broad range of general problems but typically involving sensory
data, e.g. times signals, images, video streams, or other physical
measurement data. 

Conditions of Employment:
TU Delft offers an attractive benefits package, including a flexible
work week, free high-speed Internet access from home (with a contract
of two years or longer), and the option of assembling a customised
compensation and benefits package (the 'IKA'). Salary and benefits are
in accordance with the Collective Labour Agreement for Dutch
Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate
School. TU Delft Graduate School provides an inspiring research
environment; an excellent team of supervisors, academic staff and a
mentor. A Doctoral Education Programme is also provided, aimed at
developing transferable, discipline-related, research skills. Please
visit www.phd.tudelft.nl for more information.

Further Information:
For further information about the position, please contact Dr. Hayley
Hung (h.hung ＠ tudelft.nl)

Application Procedure: 
Interested applicants should send an up-to-date curriculum vitae,
letter of application, and the names and the contact information
(telephone number and email address) of two references to Dr Hayley
Hung with the subject heading '[MACRO PhD]'.

The letter of application should summarise (i) why the applicant wants
to do a PhD, (ii) why the project is of interest to the applicant,
(iii) evidence of suitability for the job, and (iv) what the applicant
hopes to gain from the position.

The application procedure is `ongoing until the position is filled so
interested candidates are encouraged to apply as soon as possible and
before January 5 2014. Note that candidates who apply after this
deadline may still be considered but applications before the deadline
will be given priority. 
--
■ 井手 一郎 					   ide ＠ is.nagoya-u.ac.jp  ■
■ 名古屋大学大学院 情報科学研究科 メディア科学専攻			  ■
■	電話／ファクシミリ：(052)789-3313［直通］			  ■
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■ 	WWW： http://www.murase.m.is.nagoya-u.ac.jp/~ide/index-j.html	  ■