Monday, July 6, 2009

PhD Scholarship in various program at United Arab Emirates Unversity

PhD Scholarship in various program at United Arab Emirates Unversity

Source:
http://www.uaeu.ac.ae/study_here/docs/phd/20090610_phd_important_information.pdf

Source:
http://www.uaeu.ac.ae/study_here/docs/phd/20090610_phd_important_information.pdf

The United Arab Emirates University announces the establishment of a new Ph.D. program for qualified Emiratis and a number of expatriate students. The program will begin Fall 2009 and it is anticipated that up to 20 students will be admitted this first year.

I. GENERAL INFORMATION

1. All Ph. D. students must be full time students.
2. All Ph.D. students will be supported by a scholarship that will include:

a. A monthly tax free stipend of 10,000 AED
b. University provided furnished housing
c. Health insurance for student, spouse and up to three children
d. Textbooks will be provided
e. Annual round trip air tickets to home country for student, spouse and up to three children (for expatriate students)

3. Tuition will be charged for the Ph.D. program on a credit hour basis and all admitted students will be eligible to receive sponsorships of tuition. Students admitted to the Ph.D. program who do not receive external sponsorships will be eligible for University sponsorship of tuition charges.
4. The expected duration of the Ph.D. program will be 3-4 years post Bachelor`s degree or 2-3 years post Master`s degree
5. The program will consist of at least one year`s graduate level course work, passing of a qualifying examination and successful completion of a dissertation.
6. The exact nature of a Ph.D. students` program will be prepared by the host department and approved by the Board of Graduate Research Studies.
7. Fields available for study include all areas currently presented by the faculties and colleges at UAEU. Discipline field names will be used such as chemical engineering, physics, history, etc.



II. ADMISSION REQUIREMENTS
1. Minimum GPA Expectation:

a. If post Bachelor degree entry - 3.5 out of 4.0 for final 60 credit hours
b. If post Master`s degree entry - 3.5 out of 4.0 for Masters Course work.

2. Minimum TOEFL score - 575 expected
3. GRE scores will be considered; GMAT scores for Business will be considered. These scores are not required but will strengthen the application.
4. Two letters of recommendation are required
5. After receipt of the completed application form and supporting information as outlined in the next section, an application proposal will be prepared by host department and will require the approval of the department chair and college dean. This proposal will include a statement of personal goals from the candidate and a description of the proposal program of work.
6. The proposal will be considered by the Board of Graduate Research Studies and a recommendation made to the Provost who will make the final decision as to acceptance into the program.
7. Each of the following will be considered in reaching a decision whether or not to approve enrollment and the proposed course of study:

a. Candidates suitability, academic achievements and potential
b. Suitability and research record of supervisor and, if applicable, co-supervisor(s)
c. Suitability and research record of thesis advisory committee membership
d. Department facilities or their equivalent
e. Proposed coursework, including learning outcome goals
f. Proposed thesis topic or general area of research (exact topic may beapproved later)
g. Eligibility and admission to the Ph.D. program are independent of the applicant`s tuition sponsorship.

III. APPLICATION PROCEDURE
1. Candidate must complete and submit the online application form that may be found at www.uaeu.ac.ae/PhD
2. Candidate must have official transcripts of all university work sent directly from the appropriate universities to Office of Admissions, UAE University, P.O. Box 17555, United Arab Emirates (use of express mail suggested).
3. Official score reports of the TOEFL, (GRE and/or GMAT) should be sent to:
Office of Admissions,
UAE University,
P.O. Box 17555,
United Arab Emirates.

4. Two letters of recommendation should be sent to
UAE University,
P.O. Box 17555,
Office of Admissions,
United Arab Emirates.

5. Selected candidates may be invited to UAEU for an interview. Some candidates may be interviewed via a video conferencing system.
6. Applicants are urged to contact the college and/or the department in which they would like to study and discuss their application.

IV. CONTACTS
Applicants are encouraged to contact the following individuals for further information about specific areas:

. College of Business and Economics
Professor David Graf, Dean
dgraf@uaue.ac.ae

. College of Education
Dr. Abdulla Al-Za`abi Assistant Dean for Research and Graduate Studies
AbdulsalamJ@uaeu.ac.ae

. College of Engineering
Dr. Ali Almarzouqi, Associate Dean for Research and Graduate Studies
Hassana@uaeu.ac.ae

. College of Law
Dr. Shadi Murtada
Shadi-murtada@uaeu.ac.ae

. College Humanities and Social Sciences
Dr. Ateeq Jakka, Assistant Dean for Research
drateeq@uaeu.ac.ae

. College of Science
Dr. Abdulmajeed Saif M. Al-Khajah, Assistant Dean for Research
majeed@uaeu.ac.ae

. College of Food and Agriculture
Professor Ghaleb Hadrami, Dean
Hadrami@uaeu.ac.ae

. College of Information Technology
Dr. Boumediene Belkhouche, Associate Dean
b.belkhouche@uaeu.ac.ae

. College of Medicine
Prof. Mohamed Yousef Hasan, Vice Dean
my.hasan@uaeu.ac.ae

Saturday, June 27, 2009

PhD studentship at Institute of Intelligent Systems and Robot

PhD studentship

PhD studentship available at Institute of Intelligent Systems and Robotics
(http://www.robot. jussieu.fr/ ?op=view_ page&id=2& page=Object〈=en)
University of Paris 6 (www.upmc.fr) .

The position is available within the framework an interdisciplinary
project HuPer and Lunettes Intelligentes
(http://www.robot. jussieu.fr/ fra/projets/ lunintel/ index.html)
on "Cognitive navigation in space ; application to design of mobility
assistance for visually impaired". Cooperation with London University
(professor Steve Maybank).

Project summary.
ISIR (Institute of Intelligent Systems & Robotics) (former Laboratoire de
Robotique de Paris,) of Paris 6 University studies neuro-cognitive
human-space interaction in order to design and realize prototypes of
intelligent systems, robotics and mechatronics systems, highly autonomous
and/or able to assist healthy and handicapped (especially visually
impaired), in performing everyday life tasks. The provision of autonomous
mobility for the visually impaired is a difficult but important societal
problem. Solutions based on GPS and a digital map of the environment are
not suitable because of the low, 10m, precision of GPS, poor satellite
signal reception in urban areas and indoors, and the difficulty of
responding to changes in the environment. Artificial vision in the form of
SLAM (Simultaneous Localization and Mapping) provides a satisfactory
solution for autonomous mobile robots. However, SLAM is not suitable for
assisting the visually impaired, because human navigation is far more
complex than that of a mobile robot. Human navigation leads to the
definition of natural visual SLAM (SLAM-VN). SLAM-VN is a simulation of
the visual perception-motion loop, including feedback from inertial
sensors to the imaging system, in analogy with the human vestibulo-ocular
feedback. This should reinforce the robustness of classical stereovision
systems and solve the problem of the spatio-temporal instabilities caused
by uneven ground and by sudden and unpredictable human movements. This
thesis aims to define precisely the concept of SLAM-VN and model it in
hardware and software. We will use the ISIR convergent stereovision system
to which we will add an inertial system, which will play the role
analogous to the human vestibular system. The combined system is named
intelligent glasses (IG). One of challenges of the IG system is the
correct synchronization and fusion of the visual information and the
inertial information. The information about the environment obtained by
SLAM-VN will be used for object recognition and tracking, and obstacle
detection. The Fisher-Rao metric will be used to quantify the accuracy
with which the objects and obstacles can be described. This will lead to
the design of new vision processing algorithms, never investigated before.
3D object localization (precision of ~ 0.5 m) will be established via
RANSAC type algorithms. Object tracking will use a classical approach such
as a particle filter. The SLAM-VN model will be validated by experiments,
including navigation in real environments by both the visually impaired
and by the robot iCUB (European humanoid robotic platform of ISIR
laboratory). The interface for visually impaired will include a touch
stimulating interface upon which obstacles will be displayed
Key words: visual perception, stereo, inertial data, data fusion,
localization, object recognition, Fisher-Rao metric, RANSAC, particle
filter,visually impaired mobility assistance

- Starting date: October 2009
- Duration: 3 years
- Required education: Master in Computer Science, or Robotics, or
Intelligent Systems, or Cognitive Science, or Human/animal
Physiology/Biology obtained in 2009 in a European Union University;
- Be 26 year old or less

- Required skills: Programming in C and C++; good level of written/spoken
English
(French not required)
- Experience/studies in computer vision, image processing, robotics, VLSI is
an advantage.
- The successful candidate will be hired as PhD student and receive
Ministry of Education scholarship with social benefits.

Deadline for application : June 28, 2009 (first preslection) , July 2st
(final application)

If interested, please post, e-mail (pdf format only), or fax:
for preselection
1- C.V.
2- Copy of original study certificates with list of exams, grades, and scale
(indicate min, max, and pass threshold) for Master
3- Copy of international publications, if any (max 3)

For final application
1- C.V.
2- Motivation letter (career plan, motivation for PhD, statement of research
interest)
3- Copy of original study certificates with list of exams, grades, and scale
(indicate min, max, and pass threshold) for Master
4- Contact addresses of two reference persons
5- Copy of international publications, if any (max 3)

to:

Prof. Edwige Pissaloux
ISIR
Université Paris 6
Contact : Edwige.Pissaloux@ upmc.fr
Fax : + 33 2 32 10 69 90

Given the high number of applications and enquiries, further information can
be provided only to applicants who have submitted all items listed above.

============ ========= ========= ========= ========= =
Edwige Pissaloux ph. 33(0)144272874
Professeur fax : 33(0)144275145
Vision VLSI/System Design email:Edwige.Pissaloux@ upmc.fr
ISIR/UPMC & CNRS UMC 7220
Pyramide tour 55
4 place Jussieu
75 252 Paris Cedex 05, France
IEEE France Section EMBS Chapter Founder and Past Chair
Présidente de la Section Signal & Image du Club
EEA Section
============ ========= ========= ========= ========

3 PhD Studentships in ITS, Oxford Brookes University, UK

Three Fully funded 3-year PhD Studentships in Intelligent Transport Systems
Intelligent Transport Systems
Oxford Brookes University Doctoral Training Programme

Stipend:
£14,000 tax-free per annum UK/EU students (plus fees paid)
£12,000 tax-free per annum International students (plus fees paid)

Start Date: Sept/October 2009

Deadline: 10 July 2009

Eligibility: Applicants should have or hope to obtain a first class degree or postgraduate degree in a engineering, mathematical, computer science or analytical subject. If you are interested in these studentships then please fill in the application form and obtain references as per instructions in the given form below. Open to Home, EU and International candidates.

The Intelligent Transport Systems (ITS) Doctoral Training programme resides within the School of Technology at Oxford Brookes University. The School is situated in a new £8 million teaching and research facility. The School also has an international reputation in several research areas and performed well in the recent Research Assessment Exercise. For more details about our research please see http://tech. brookes.ac. uk/research.

The ITS programme focuses on the development of intelligent vehicle and traffic systems. The two main motivations for this research are: (a) the need for safe and environmentally sustainable transport systems, and (b) to develop technology for autonomous vehicles.

The programme invites applications for three fully funded PhD studentships for application details please contact: neil.fellows@ brookes.ac. uk

Further details: http://tech. brookes.ac. uk/research/ intelligent- transport- systems

Further Details
http://www.jobs. ac.uk/jobs/ ZM403/Three_ Fully_funded_ 3-year_PhD_ Studentships_ in_Intelligent_ Transport_ Systems/