موقعیت‌های خالی رباتیک در دانشگاه‌های خارج از کشور

[farsam1984]

Research & Development Engineer in Robotics Education

We are seeking a full-time Research & Development Engineer to join the
newly launched Masters of Science and PhD Programs in Robotics within the
College of Engineering at the University of Michigan, located at the Ann
Arbor campus.

The successful applicant will work with robotics faculty on the design,
development, and fabrication of robotic testbeds and kits that are
fundamental to the educational laboratory component of the newly launched
Robotics Masters and PhD programs. Further particulars about the newly
launched Robotics M.S. and PhD program can be found here:
http://robotics.umich.edu/

Applicants should have a Masters of Science or Bachelors of Science degree
in engineering or other relevant discipline, with prior background or
experience in mobile robotics (land/sea/air) considered a plus.
Particulars about this role and desired qualifications, including how to
apply, can be found at this website:
http://umjobs.org/job_detail/93798/r...pment_engineer

Applications received by 04 April 2014 will be fully considered. Include a
cover letter, CV, examples of your past experience (e.g., papers, code,
project descriptions, etc.), and at least two professional references.
Please indicate your visa or citizenship status.

The University of Michigan is an equal opportunity/affirmative action
employer.

[robotic]

Ph.D. Positions in Mobile Robotics and UAV

The Interactive Robotics Laboratory (IRL) at the Department of Mechanical and Aerospace Engineering, West Virginia University has openings for Ph.D. level Graduate Research Assistantships. Research areas include sensor fusion, mobile robotics, unmanned aerial vehicle, vision-aided navigation, and human-robot interaction.



Prospective candidates should hold a M.S. or B.S. degree in electrical engineering, aerospace engineering, mechanical engineering, computer science or engineering, automatic controls, applied mathematics, or other related disciplines. She/He should have a strong background and interest in the general areas of systems and controls, stochastic estimation, mathematics, instrumentation, Matlab and C programing, and hardware design and testing.



The candidate should also have excellent verbal and writing skills in English, should be motivated and capable of creatively working in a team environment.



Interested candidates should apply to the Department of Mechanical and Aerospace Engineering online. Questions about the position may be sent to Dr. Yu Gu at Yu.Gu@mail.wvu.edu<mailto:Yu.Gu@mail.wvu.edu>.



More information about IRL can be found at: http://www2.statler.wvu.edu/~irl/index.html

[robotic]

EPFL: Postdoc position in guidance, navigation, control of swimming autonomous robots with applications to pollution detection

The Biorobotics laboratory (Biorob, http://biorob.epfl.ch/) at EPFL
(Lausanne, Switzerland) has one open position in Guidance, Navigation,
and Control (GNC) of swimming robots, with applications to pollution
detection in aquatic environments. The position is funded by the Swiss
National Science Foundation project Envirobot
http://www3.unil.ch/wpmu/envirobot/, and involves work on GNC
algorithmic at a theoretical level, in numerical simulations, and in
practice on prototype robotic swimmers, see
http://biorob.epfl.ch/amphibot. The core problems treated revolve around
topics including adaptive sampling and active environmental monitoring.

EPFL is one of the leading Institutes of Technology in Europe and offers
internationally competitive salaries and research infrastructure.

Requirements:
Candidates should have a Ph.D. and a strong publication record in fields
related to field robotics, dynamic systems and control theory,
probabilistic robotics, and signal processing. The ideal candidate will
have prior experience with adaptive sampling applications and/or with
swimming robots.

How to apply for the Postdoc position:
The application should consists of a motivation letter (explaining why
you are interested in the project, and why you feel qualified for it), a
full CV, two or three relevant publications, and the email addresses of
two referees. PDF files are preferred. The files should be sent to
auke.ijspeert@epfl.ch <mailto:auke.ijspeert@epfl.ch>.

Deadline and starting date:
The starting date is April 1rst (or as soon as possible after that
date). Applications will be processed as they arrive until the position
is closed.

Contact:
Information concerning the type of research carried out by the group can
be found at http://biorob.epfl.ch/. You should send your application and
any inquiry by email to:

Prof. Auke Jan Ijspeert <http://biorob.epfl.ch/page38158.html>,
auke.ijspeert@epfl.ch <mailto:auke.ijspeert@epfl.ch>
EPFL, Ecole Polytechnique F?d?rale de Lausanne
EPFL STI IBI BIOROB
INN 237 <http://plan.epfl.ch/?room=INN237>
Station 14
CH-1015 Lausanne, Switzerland
WWW: http://biorob.epfl.ch/

[robotic]

Ph.D. Student Opening in Robot Vision

The Intelligent Autonomous Systems Lab (http://ualr.edu/cxye/laboratory.htm) of the University of Arkansas at Little Rock has one Ph.D. student opening for Spring/Fall 2014. The successful candidates will develop computer vision methods based on a 3D Flash LIDAR for a co-robotic navigation aid for the visually impaired. The research topic is 6-DOF Simultaneous Localization and Mapping or 3D object recognition. The research assistantship carries a monthly stipend of $1500 (annual stipend $18,000).

The project is funded by the National Institutes of Health (NIH). In 2013, The NIH funded three projects nationwide through the National Robotics Initiative Program. More information about this project may be found here:

http://www.nih.gov/news/health/oct2013/nibib-23.htm

http://www.popsci.com/blog-network/z...co-robots-come

General guideline of admission to graduate study is referred to http://ualr.edu/enss/. The lab currently hosts research projects funded by the National Science Foundation, the National Institutes of Health, and NASA. Currently, the research group includes a postdoc, four Ph.D. students, and numerous undergraduates.

The University of Arkansas at Little Rock is a dynamic metropolitan university locating at the state?s capital city, Little Rock (http://www.littlerock.com). Applicants should hold a degree in electrical engineering, computer science, or related fields. To apply, contact Dr. Cang Ye (cxye@ualr.edu) with detailed CV and copies of transcript(s), TOEFL and GRE.

------------------------------
Cang Ye, Ph.D.
Associate Professor
Department of Systems Engineering
University of Arkansas at Little Rock
2801 S. University Ave, EIT 532
Little Rock, AR 72204
Phone: (501) 683-7284 Fax: (501) 569-8698
Google Voice: (501) 237-1818
Email: cxye@ualr.edu
http://www.ualr.edu/cxye

[robotic]

Postdoc position

Location:
Neurological Clinic of Freiburg University, Germany

Starting date:
As soon as possible

Duration: 1 year (can be prolonged for one more year)

The work
is part of the European project EMBalance. The modeling
and experiments are performed in close collaboration with colleagues
from technical universities in the Netherlands.

The project concerns modeling, simulations and robot control implementation.

The experiments are performed in a human posture control laboratory and
involve comparisons between human and robot balancing behaviors.

Strict requirements are:
Skills with Matlab/Simulink
Fluent English in speaking and writing.

Team-work, lab-related activities and traveling are expected.
Application to:

Prof.Dr. Th. Mergner
Neurologische Klinik, Neurozentrum
Breisacher Str. 64, D-79106 Freiburg, Germany
email: mergner@uni-freiburg.de

[robotic]

DEPARTMENT OF COMPUTER SCIENCE, THE UNIVERSITY OF TEXAS AT AUSTIN, USA


POSITION: Post-doctoral fellow on Reinforcement Learning, Intelligent Robotics


CONTACT: Prof. Peter Stone
The University of Texas at Austin
Computer Science Department
2317 Speedway, Stop D9500
Austin, TX 78712-1757 USA
pstone@cs.utexas.edu


Applications are invited for a postdoctoral fellow position of one year,
possibly renewable for additional years, in the Department of Computer
Science in the Learning Agents Research Group headed by Prof. Peter
Stone (http://www.cs.utexas.edu/~pstone).

The research will be related to reinforcement learning and intelligent
robotics, with significant room for the successful candidate to shape
the direction of focus.


QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or
related field. Experience in reinforcement learning or intelligent
robotics is essential. Experience in machine learning more broadly,
multiagent systems, and/or transfer learning is preferable.


TO APPLY: Applicants should send by email to pstone@cs.utexas.edu

- a curriculum vitae
- names of two references with contact information
- a two-page summary of past research and relevant qualifications
- a personal Web page, if available, where further details can be found

This position is open to be filled immediately.
Applications will be reviewed as they are received.

[robotic]

Fully-funded PhD position in Mobile Robotics for Ambient Assisted Living

PhD position is available in the Lincoln Centre for Autonomous Systems
Research (L-CAS, http://robots.lincoln.ac.uk ) at the University of Lincoln
UK.

This 3 ? year funded position is open to UK/EU candidates only and includes
tuition fees and a bursary at the current RCUK doctoral stipend levels.

The PhD position is offered in the area of mobile robotics for ambient assisted
living with potential application to health and elderly care. The successful
candidate will be expected to design, conduct and publish original research on
this topic, developing novel approaches for long-term monitoring and
assistance of humans, including activity perception, representation and
prediction, while taking into account the dynamics and changes that occur in
real world environments.

The successful candidate will be expected to engage in an international and
ambitious team, working with state-of-the-art robotic hardware and software,
and benefitting from excellent support to produce and disseminate original
research contributions. Moreover, he/she will have the opportunity to work in
close collaboration with members of the L-CAS team involved in the European
FP7 project STRANDS (http://www.strands-project.eu), which focuses on long
term operations and interaction of robots in human populated environments.
There is an expectation that the successful candidate will participate in
international conferences and other activities as required.

The candidate will have a Bachelor or Master in Computer Science, Engineering,
Mathematics or Physics. He/she must have excellent mathematical and coding
skills (e.g. C++, Python), preferably with some knowledge of Linux OS.
Although not required, some previous experience in Machine Learning, Computer
Vision and/or Artificial Intelligence would be an advantage. The student should
be available to start the PhD as soon as possible.

The School of Computer Science at the University of Lincoln scored highly in
the UK Research Assessment Exercise (RAE 2008) with 85% of its outputs ranked
at international quality or better with 15% ranked world-leading. The School
provides a stimulating environment for academic research, and is based on the
picturesque waterfront campus in the vibrant city of Lincoln in high quality,
newly developed facilities. The research facilities available within the
School of Computer Science include well-appointed research laboratories and
office spaces with state-of-the-art computing facilities for an international
community of academics, researchers and graduate students.

In the first instance please contact Dr Nicola Bellotto and Dr Oscar Martinez
Mozos (nbellotto@lincoln.ac.uk , omozos@lincoln.ac.uk), with your CV and
transcript. Put "Mobile Robotics for Ambient Assisted Living - PhD
Application" in the subject line.

Please note the studentship will be offered to the most suitable candidate on a
first come basis, so early application is encouraged.


--
Dr Nicola Bellotto
School of Computer Science
University of Lincoln
Brayford Pool
Lincoln, LN6 7TS
United Kingdom
Tel: +44 (0)1522 886080
http://robots.lincoln.ac.uk/users/nbellotto

[robotic]

Postdoctoral Research Fellow - Cooperative Planning And Perception

Australian Centre For Field Robotics (ACFR)
The University of Sydney, Australia

Remuneration package: up to $107K p.a. including up to $91K base salary,
leave loading and up to 17% superannuation
Closes: 13 April 2014 (11:30pm Sydney time)


----------------------------------------

The Postdoctoral Research Associate (level A) / Research Fellow (level
B) position is hosted at the Australian Centre for Field Robotics (ACFR)
and the School of Aerospace, Mechanical and Mechatronic Engineering at
The University of Sydney. The ACFR performs fundamental research in
perception, planning, control, modelling, learning, and systems
engineering and has strong industry and scientific collaborations in
sectors including agriculture, environmental monitoring, commercial
aviation, defence, and mining.

You will work with Dr Robert Fitch and Prof Salah Sukkarieh on a project
funded by the Australian Research Council that is focusing on the
problem of how to optimise the viewpoints of outdoor mobile robots to
maximise data quality for perception tasks such as segmentation and
classification. You will participate in theoretical and algorithmic
developments that are central to the project. Current applications
include information gathering for agriculture, environmental monitoring,
and other outdoor settings.

Visit sydney.edu.au/recruitment and search by reference number 163/0114
for more information and to apply.

--
Dr. Robert Fitch
Australian Centre for Field Robotics (ACFR), J04
The University of Sydney 2006 NSW, AUSTRALIA
Email: rfitch@acfr.usyd.edu.au
Phone: +61 (0)2 9036 9194

[robotic]

Postdoc position - Oregon State University

There is an immediate opening for a postdoctoral position in Prof. Kagan
Tumer's Autonomous Agents and Distributed Intelligence Lab
(http://engr.oregonstate.edu/~ktumer) at Oregon State University. The
initial position is for one year, and is renewable yearly beyond that.

The successful candidate will have a Ph.D. in Robotics, Computer Science
or related field, and expertise in reinforcement learning, evolutionary
algorithms and multiagent systems. The position will focus on applying
machine learning algorithms to real world problems, including sensor
coordination, UAV coordination, multi-robot coordination and advanced
power plant control.

In addition, there will be strong collaboration opportunities within the
Robotics group at Oregon State University
(http://robotics.oregonstate.edu/). The robotics group at Oregon State
University is growing rapidly and we are looking for motivated, talented
individuals to join our team.

To apply, email a single file (no more than 2 MB) containing your CV and
a one page summary of research interests to kagan.tumer@oregonstate.edu
with a subject line:

POSTDOC APPLICATION: LastName, Firstname

The position is available immediately and will remain open until filled.

--
Kagan Tumer
Professor, School of MIME
Oregon State University
http://engr.oregonstate.edu/~ktumer

[robotic]

Fully-funded PhD position in Shared Control Wheelchair Interfaces
at University College London, UK


Project title: Shared Control Wheelchair Interfaces
Project description: http://www.ucl.ac.uk/slms/aco/bat/gc/projects/30
Institution: University College London (UCL), UK
Stipend: ?18,000 p.a. for 3 years*
Deadline: Wednesday 2nd April 2014 @ midnight GMT
Apply here: http://www.ucl.ac.uk/slms/aco/bat/gc/apply


PHD ADVISORS:

Dr Catherine Holloway, Accessibility Research Group (ARG), UCL, UK
Dr Tom Carlson, Aspire Centre for Rehabilitation Engineering and Assistive Technology (Aspire Create), UCL, UK


OVERVIEW

As part of the UCL Grand Challenge Studentships, we are inviting applications for a fully-funded 3-year PhD project in the area of smart and adaptive robotic wheelchairs. The student will be based at both UCL?s PAMELA facility (http://www.ucl.ac.uk/arg/pamela) and UCL?s Aspire Create (http://www.ucl.ac.uk/surgicalscience...es_ioms/aspire).

The project will involve developing novel wheelchair interfaces, such as eye-gaze- and brain-controlled wheelchair interfaces. These will build upon shared control techniques, which interpret the user?s intentions in context, to compensate for functional deficiencies. Part of the project will involve evaluating the prototype with wheelchair users. Therefore we are looking for exceptional candidates with a background in biomedical / electrical / mechanical engineering, computer science or physics with good coding skills and excellent interpersonal/communications skills.

Suitably qualified and eligible candidates can contact Dr Tom Carlson (t.carlson@ucl.ac.uk<mailto:t.carlson@ucl.ac.uk>) for further information. Applications, until 2nd April 2014, should be according to the guidelines for UCL Grand Challenge Studentships (http://www.ucl.ac.uk/slms/aco/bat/gc/apply<http://www.findaphd.com/common/click...t%2fgc%2fapply>), mentioning the PhD project title ("Shared Control Wheelchair Interfaces") and highlighting academic excellence and any previous research experience.

*The stipend is ?18?000 p.a. for 3 years, and tuition fees will be covered. This funding is available to UK and EU/EEA candidates. Non-EU/EEA candidates must prove their ability to pay the difference between the UK/EU and international tuition fees.


?
Dr Tom Carlson

Aspire Lecturer
Aspire Create - Centre for Rehabilitation Engineering and Assistive Technology
University College London, UK

Tel: +44 (0) 208 385 3048

http://people.itcarlson.com/tom
t.carlson@ucl.ac.uk