موقعیت‌های خالی رباتیک در دانشگاه‌های خارج از کشور

[robotic]

PhD position in Multimodal Human/Robot Interaction and Immersive Teleoperation of Humanoid Robots

A funded Ph.D. student position is available in the ANR project SOMBRERO
due to start anytime from the 1st of january 2015. The overall aim of
the project is to use immersive teleoperation (beaming) of humanoid
robots to help them acquiring social skills. The key idea of the project
is to ask a human pilot to interact with end-users via a target robotic
embodiment. Thanks to immersive teleoperation, the pilot remotely
perceives and acts on the local scene via the sensors and actuators of
the robot. The robot will thus passively experience social behaviors and
store multimodal scores into its behavioral memory in order to further
use machine learning techniques for building context-sensitive
behavioral models.

The successful candidate will complement an interdisciplinary team of
researchers with expertise in speech processing, multimodal interaction
and machine learning as well as embodied cognition. The target robot is
the GIPSA talking iCub, called Nina. The successful candidate will
support the project by (a) complementing the current beaming platform
for dealing with body and hand movements; (b) extending statistical
behavioral models developed by our group and (c) testing these
behavioral models in realistic interactive scenarios with end-users. The
candidate is expected to explore statistical sequential modeling (such
as HSMM, DBN, POMDP, etc) with large state and observation spaces.

The successful candidate is expected to hold an education in computer
science or similar and the preferred candidate has experience with:

* Machine learning
* Signal processing & vision
* Multimodal interaction
* Control of modular robots, behavior-based control
* Embodied artificial intelligence


The successful candidate will join ?Cognitive Robotics, Interactive
Systems and Speech Processing? (CRISSP) which is a newly created
research team at the GIPSA-Lab (see
http://www.gipsa-lab.grenoble-inp.fr) at Grenoble University.

- See more at:
http://www.gipsa-lab.grenoble-inp.fr/~gerard.bailly/projets_en.html
<https://delta.hr-manager.net/Applica...n&MediaId=1282>
- Or contact me directly if you have questions.

Kind regards,

Gerard Bailly
CNRS Senior Research Director
--
Gerard Bailly
DR CNRS
GIPSA-Lab UMR 5216 - Speech & Cognition dpt
11, rue des Mathematiques
38402 St Martin d'Heres - France
Tel: (33|0) 476 574 711
Mob: (33|0) 681 895 009

[robotic]

Postdoc and PhD Positions at
University of Bonn, Autonomous Intelligent Systems Group


The Autonomous Intelligent Systems Group of University of Bonn invites
applications for several Postdoctoral and fully funded PhD positions.

Candidates should have a background in one of the following research areas:
* Autonomous micro aerial vehicles,
* Service robots,
* Humanoid robots,
* Search and rescue robots,
* Simultaneous localization and mapping,
* Environment perception,
* Manipulation and locomotion planning, or
* Machine learning for robotics.

Candidates for Postdoctoral positions must hold a PhD in robotics or a
related
field, such as computer science or electrical engineering. Top-level
publications and good organizational skills are important. Successful
candidates will have the opportunity conduct independent research and at
the
same time contribute to the ongoing projects listed below, guiding PhD
students
and master students. Payment will be according to TV-L-E14 54,500-65,000
Euros
per annum, depending on experience.

Candidates for PhD positions must hold a university Master's degree in
computer
science, mathematics, electrical engineering, or a related field. A strong
mathematical background and programming skills are important. Successful
candidates will conduct focused research towards a PhD in Computer Science
and contribute to one of the ongoing projects listed below, guiding master
and bachelor students. Payment will be according to TV-L-E13 46,000-50,500
Euros per annum, depending on experience.

Applications in PDF format should be sent by email to behnke@ais.uni-bonn.de
with the subject line "Postdoc Application" or "PhD Application".
Please indicate in your cover letter your main achievements, the
research area
or project where you want to contribute, and your availability date.
A list of publications and transcripts must be included.
There is no application deadline. Positions will be filled as soon as
possible.

Autonomous Intelligent Systems Group:
=====================================
The University of Bonn has a long tradition in robotics research and
multiple
outstanding groups in robotics. The Autonomous Intelligent Systems Group,
headed by Sven Behnke, has developed award-winning cognitive robot systems,
including domestic service robots, autonomous micro aerial vehicles,
humanoid
soccer robots, robots for mobile manipulation in rough terrain, and
robots for
intuitive human-robot interaction. Contributions include efficient
methods for
RGB-D and laser-based SLAM, semantic environment perception, robot
navigation,
object manipulation and tool use, bipedal walking, multimodal human-robot
interaction, and learning from demonstrations and own experience.
Further information: http://www.ais.uni-bonn.de/research.html


Ongoing projects in the Autonomous Intelligent Systems Group:
================================================== ===========
* H2020: CENTAURO - Robust Mobility and Dexterous Manipulation in Disaster
Response by Fullbody Telepresence in a Centaur-like Robot (Coordinator)
http://www.centauro-project.eu

* FP7: STAMINA - Sustainable and Reliable Robotics for Part Handling in
Manufacturing Automation
http://www.ais.uni-bonn.de/STAMINA

* DFG Research Unit "Mapping on Demand":
- Local Perception for the Autonomous Navigation of Multicopters
- Autonomous Navigation for Object Capture with Multicopters
http://www.ais.uni-bonn.de/MoD

* DFG Priority Programme "Autonomous Learning":
- Autonomous Learning of Bipedal Walking Stabilization
http://gepris.dfg.de/gepris/projekt/269319994
- ALROMA: Autonomous Active Object Learning Through Robot Manipulation
http://gepris.dfg.de/gepris/projekt/260307391

* BMWi: InventAIRy - Identification with Autonomous Flying Robots:
Autonomous Flight Control
http://www.inventairy.de

* DFG: Development of an Open Humanoid Soccer Robot
http://www.ais.uni-bonn.de/nimbro/OP

* German Aerospace Center (DLR): Cooperative Exploration and Mobile
Manipulation in Rough Terrain (DLR SpaceBot Cup)
http://www.ais.uni-bonn.de/nimbro/Explorer


University of Bonn has an international Master in Computer Science
Programme where you can specialize in Robotics. All lectures are in English.
Excellent students can be supported by research or teaching assistant jobs.
Further information: http://master.cs.uni-bonn.de

More information on the Federal City of Bonn:
http://en.wikipedia.org/wiki/Bonn

[robotic]

master in Robotics at University of Tartu




Those of you who would like to do a master in "Robotic and Computer Engineering" in University of Tartu, Institute of Technology, starting from the upcoming September, please contact me. Upon demonstrating outstanding performance, it is always possible for us to fund your studies from the Spring Semester on. I would be grateful if you could also share this information with your friends and colleagues please.



Regards,
Morteza Daneshmand
Ph.D. Candidate
Intelligent Computer Vision (iCV) Group
Intelligent Materials and Systems Laboratory (IMS Lab.)
Institute of Technology
Faculty of Science and Technology

University of Tartu
Nooruse 1-329, 50411 Tartu, Estonia
Email: mortezad@ut.ee or mzdaneshmand@gmail.com
Tel .: + (372) 737 4827
Cell: +(372) 5637 2718
Skype: m.daneshmand

[behzad4]

U.S. Clemson University, 2 Ph.D. and 1 Postodoc Positions in Control of Human-Robot Collaboration Systems

http://engineering.academickeys.com/...5BIDX%5D=63827

[rmojtaba]

Ph.D. Positions in UAV and Mobile Robotics
West Virginia University, United States
Deadline: 2015-08-30 00:00:00 UTC

The Interactive Robotics Laboratory (IRL) at West Virginia University (WVU) has openings for multiple Ph.D. level Graduate Research Assistantships (GRAs). Research areas include sensor fusion, vision-aided and cooperative 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 WVU Department of Mechanical and Aerospace Engineering or Lane Department of Computer Science and Electrical Engineering online. Questions about the position may be sent to Dr. Yu Gu: Yu.Gu@mail.wvu.edu.

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

[robotic]

Two PhD positions are available at the Robotics Group and the CoE for
Robotic Vision, Queensland University of Technology, Brisbane, Australia.


*1 PhD Position available: Human Robot Interaction based on Vision*

The key idea is to use visual cues to understand human intentions during
a manual task, e.g. assembling object, preparing food, etc. By observing
a human, a robot should be able to assist a human similar to a theatre
nurse during a surgery. The robot observers and anticipates the next
step. This needs an understanding of human tasks on a semantic level,
consisting of actions applied to objects. An internal (semantic) action
plan of such a process is needed ant the robot should be able to
localize the current executed action within the task network and be able
to learn new actions be observation. One approach could be, e.g. to link
robot and human actions to symbols and vice versa.

*1 PhD Position available: Semantic 3D Scene understanding*

Object detection in computer vision has made a significant progress due
to the renaissance of neural networks and deep learning. The drawback of
such approaches are still that huge datasets have to be processed and it
is difficult to add knowledge to the network without retaining at least
some layers of the network. Neural networks are still a black box and it
is hard to extract symbolic knowledge about the scene from the network.
This project will deal with the question of how semantic knowledge,
using Ontologies, Bayesian networks, etc. about shape, features,
structures co-appearances, to reason about what a robot sees. Eg. A cup
is perceived by a Neural Network hanging from a ceiling which is very
likely to be misclassified. What can semantic knowledge tell the robot
about the usual appearances of cups and what about things hanging from a
ceiling and where does the knowledge come from? Can a knowledge base
trigger also robotic actions if a correctly classified object does not
belong there?



More informations about how to apply, scholarships, eligibility etc. can
be found at:

https://wiki.qut.edu.au/display/cyph...obotics+at+QUT

Applicants can only! apply using our online application system.

http://survey.qut.edu.au/f/183969/8562/

Questions (no applications!) regarding the two positions mentioned above
can be send to

markus.eich@qut.edu.au with the subject [PhD]


--

Kind regards,

Dr. Markus Eich | Research Fellow
ARC Centre of Excellence for Robotic Vision | Science and Engineering
Faculty | Queensland University of Technology
P: + 61 7 3138 2348 |E: markus.eich@qut.edu.au |W: www.roboticvision.org
Gardens Point, G Block 423 | 2 George Street, Brisbane, QLD 4000 |
CRICOS No. 00213J
ACR

[reza.ahmadi]

We are searching for three exceptional PhD students to work on funded research assistant positions in the Department of Electrical and Computer Engineering at Southern Illinois University (SIU), Carbondale. The positions are available as early as Spring 2016 and contingent on satisfactory performance and fulfillment of the department requirements can be extended to four years.

The first two positions are in the general area of dynamical systems and control applied to magnetic control of micro-robots. For these positions, a BS degree in electrical, mechanical, or aerospace engineering or applied physics is required. Applicants must demonstrate strong courage for independent experimental work in the lab, in addition to interest in theory development.

The third position is in the general area of data science and requires strong background in applied mathematics and statistics in addition to advanced programming skills. For this position, applicants with a BS degree in electrical/computer engineering, computer science, applied mathematics, statistics, or operations research are considered.

For both areas, a relevant MS degree is a definite advantage.

Interested applicants may send their application package or inquiries to Dr. Arash Komaee at (akomaee@siu.edu). A complete application package must include a detailed Curriculum
Vitae, name and contact information of three references, a brief description of the applicant's research interests, and GRE and TOEFL scores.

[rmojtaba]

The Robotics Research Group opened a PhD position on robot programming by human demonstration
Katholieke Universiteit Leuven, Belgium
Deadline: 31 Dec 2015

Project
Next to its mechanical 'hardware' properties (payload capacity, workspace reach, inherent accuracy, etc.) robot programming capabilities are key for applying robot technology in industry. A mechanically suitable robot which is difficult (tedious, time-consuming, non-versatile) to program will lead to high programming costs and low return on investment.
There exists a wide variety of different robot programming approaches: dedicated robot languages, teach pendants, offline simulation environments that auto-generate robot code ...
All these tools however still require (to a different degree ranging from basic to expert) knowledge about robot technology and are hence not very intuitive for on-the-factory-floor on-the-fly (re)programming. Especially for low-series, high-variety, mass-customization applications, there is a huge potential for improved programming methods that are sufficiently user-friendly for non-robotics-expert operators.
I the academic world, robot programming by demonstration (PbD) is a paradigm intended to simplify the programming aspect for end users. It is inspired by how humans learn skills from other humans through imitation. PbD focuses on the generalization of demonstrated skills, allowing reproduction of the learned skill in varied contexts and novel situations.
To contribute to the 'next generation' of robots (robots that work alongside operators on the factory floor as opposed to robots that are locked up in cages), the Robotics Group has opened a PhD position.
The PhD researcher will focus on techniques for human intent recognition and on combining programmed, sensed (force vision) and taught (by human demonstration) inputs into the complete robot task execution. He or she will develop methods in a unified framework starting from earlier work in the group on constraint-based robot programming and software architectures complying to the separation of concerns principle. Part of the research will be on developing and implementing suitable domain-specific languages and on developing highly efficient code.

Profile
We are looking for a highly motivated, enthusiastic and communicative researcher with a Master of Science degree in Mechanical Engineering, focus on mechatronics and robotics, or a Master of Science degree in Mathematical Engineering, or a related field. The candidates should have a strong background and interest in applied mechanics, robotics, machine learning, domain-specific languages, embedded and/or high-performance computing.

Applicants should use the online application tool to submit:
an academic CV
a statement of research interests and career goals
transcripts of bachelor and master degrees
proof of English language proficiency test results if the candidate's mother tongue is other than Dutch or English
a list of at least two referees with their full names and contact addresses

Interested?i
For more information please contact Prof. dr. ir. Joris De Schutter, tel.: +32 16 32 24 79, mail: joris.deschutter@kuleuven.be or dr. ir. Wilm Decré, tel.: +32 16 37 26 86, mail: wilm.decre@kuleuven.be.

Source: https://icts.kuleuven.be/apps/jobsit...tures/53541357

[ERDI]

Open Position

Ph.D. Positions in Mechanical Engineering with focus on Controls and Robotics Mechanical Engineering Department Southern Methodist University, Dallas, TX, USA Multiple Ph.D. positions with generous financial support are available for qualified applicants at the Mechanical Engineering Department of Southern Methodist University in Dallas, TX. The research focus is on Controls and Robotics. Particular interest will be on utilizing nonlinear control methods (Sliding Mode, MPC, etc.) or intelligent control methods (Neural Networks, Fuzzy Logic, etc.) for controlling different dynamical systems, including network of robots, human-inspired robots, and flying vehicles. Qualifications: Applicants should have both MS and BS degrees in Mechanical, Aerospace, or Electrical Engineering. Moreover, the following qualifications are required: 1- Strong MATLAB programming skills. 2- Strong academic background. 3- Strong problem solving skills. 4- Serious interest in research. 5- Strong mathematical background is a plus. 6- Good research record is a plus. Initial Application Procedure: Interested students should email the following material (in pdf format) to aheydari@smu.edu. Please make sure to include “PhD Position Application, Code 17” in the subject line, otherwise, the automatic email processing system may neglect your email. a) Resume/Curriculum vitae. b) Copies of (official or unofficial) transcripts (for both graduate and undergraduate degrees). c) Copies of TOEFL & GRE unofficial scores (Both are Mandatory). d) Relevant published research papers, if applicable (Optional). Applications will be considered as they are received, until the positions are filled. Therefore, applicants are encouraged to apply soon. Target start date is Fall 2017. Questions regarding these positions may be directed to the same email address with the subject line “Queries, PhD Position Application, Code 17”.

Note: If you have not taken the GRE test, your application will NOT be considered.

[ERL]

We are looking for high caliber candidate to fill funded PhD position, to begin as soon as possible. This PhD project will form part of the major projects including an EU H2020 project (Robotic Manipulation), Uk-Korea mobile manipulation project and national UK EPSRC project in collaboration with other institutions across the UK, Europe and other continents, including CEA and CNRS from France, TUDa from Germany, and KAERI from Korea. We actively collaborate to develop cutting edge new robotics techniques for autonomous/semi-autonomous and teleportated robotic manipulation and monitoring/inspection. We are currently looking for highly motivated PhD students for different topics:

• (T0) Forceful interaction with the environment: in this project, we are interested in studying how a mobile robot can use cutting tools to cut some objects in the scene. This includes cutting path generation, navigation of the mobile vehicle and controlling of the arm during cutting. The ideal candidate may have background and knowledge in control engineering, mechanical engineering, robotics or any other related disciplines. Familiarity with computer vision is a plus for the ideal candidate.

The PhD project has a degree of flexibility in direction and might also contribute to ongoing work on human-robot interaction for semi-autonomous (tele-autonomy or variable-autonomy) human-supervised scene understanding and robotic manipulation experiments. All PhDs will be working with Dr. Stolkin and Dr. Ghalazman.
General requirements: the candidate is expected to be curious, creative, and passionate about research and interested in learning and developing ideasto join ourteam. The future PhD student is also supposed to work in collaboration with colleagues within the institute as well as with external collaborators. The candidate expects to have:

• (i) high scoring master degree in robotics, AI, machine learning, computer science, electrical engineering or other relevant disciplines;
  
• (ii) programming skills: C++ or Python;

The ideal candidate is expected to have conducted research in at least one of the following topics:

• (i) robotics (or ideally robotic grasping)
  
• (ii) haptic;
  
• (iii) computer vision;
  
• (iv) artificial intelligence/machine learning;
  
• (v) control engineering. Moreover, the following are pluses for the ideal candidates: Robot Operating System (ROS), OpenCV, Point cloud library (PCL) Or any related library related to robotics, simulation, and computer vision.

What we offer: for EU citizens, we will pay all tuition fees plus a competitive living allowance of approx. £14,000 per year. For non-EU citizens, we can only cover the (much larger) oversees-rate tuition fees. However, it may be possible to supplement income with some teaching assistant type jobs during your study.

The selected applicant has the chance to be engaged in multidisciplinary projects collaborating with different experts across high ranked academic institutes. In addition, the selected applicant will be provided with the state-of-the-art equipment including different types of robots and sensors. The University of Birmingham has one of the leading and most interdisciplinary robotics research groups in the UK. Birmingham is the country’s second-biggest city, and the most centrally located city in England, just 90 minutes from London by train and with its own international airport 20 mins from city centre.
Extreme Robotics Lab (ERL) is the recently established laboratory aiming at finding solutions for autonomous/semi-autonomous robotic grasping/manipulation. ERL is developing centre having 2 Kuka iiwa, 1 Schunk LWA-4D and a Taurob as well as many RGB-D sensors. For more information please visit ERL webpage.
All inquiries should be directed to Dr. Ghalamzan via erl.uobham@gmail.com. Please include in your email:

1. a full CV;
   
2. statement of purpose (SOP);
   
3. recommendation letters or two references who can be contacted in this regard;
   
4. transcripts.

Please use “ERL PhD application ERL_17_T0” in the subject heading of your email. We will continue interviewing until a high standard candidate is found.