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The Next Step to Get Hired and Bring ROS to Real Life.

TUM | Postdoctoral position in Robot Learning

Add on 5 October, 2018

The Human-Centered Assistive Robotics (HCR) Lab at Technical University of Munich (TUM) is looking for a talented Postdoctoral researcher in the field of robot learning. The expected research area includes cognitive robot motor skill learning and reinforcement learning with the focus on learning dynamics and context based skill manipulation learning.

Working environment:

The appointed researcher will be based at the Human-Centered Assistive Robotics group (link) at TUM under the supervision of Prof. Dongheui Lee. The new position offers the opportunity to engage in national and international collaboration, especially tight collaboration with the Institute of Robotics and Mechatronics at German Aerospace Center (DLR). The research group has access to a number of robotic platforms such as light weight robotic arms, humanoid robots, motion capturing systems, etc at TUM and DLR.


* PhD degree in engineering, computer science, or equivalent.

* Excellent mathematical and coding skills (C/C++, Matlab, ROS, Python).

* Excellent skills and experience in machine learning, robotics, and control

* Proficiency in writing and speaking English.

* Publications in recognized conferences/journals

* Interested to be engaged in teaching and education at TUM

Start: The position is available immediately.

Applications. Interested candidates are invited to send application to including a CV, transcripts, a motivation letter, and a list of references.

Prof. Dr. Dongheui Lee
Associate Professor
Human-centered Assistive Robotics
Technical University of Munich (TUM)
Tel. +49 89 289 25780

Group leader
Institute of Robotics and Mechatronics
German Aerospace Center (DLR)
(Source: robotics-worldwide)


Queen Mary University | Postdoc position
Salary: £33,615 - £37,411

Add on 4 October, 2018

Dear colleagues,
an exciting opportunity opens for a 3-years Postdoc position at ARQ (Advanced Robotics @ Queen Mary), the newly established Robotics centre of
the Queen Mary University of London, to work on a UK EPSRC-funded project on dexterous robotic manipulation.

Apply here: link
Deadline for applications: 01-Nov-2018 (interviews are expected to be held shortly thereafter).

Informal enquiries should be addressed to Dr Lorenzo Jamone (

Role: Postdoctoral Research Assistant - QMUL16208.
Research group: Advanced Robotics @ Queen Mary (ARQ).
Department: School of Electronic Engineering & Computer Science (EECS).
University: Queen Mary University of London (QMUL).
Salary: £33,615 - £37,411 (Grade 5).
Duration: 3 years.


The main task of the Postdoc will be to work on the EPSRC UK project “MAN^3: huMAN-inspired robotic MANipulation for advanced MANufacturing”.
The project is led by the Queen Mary University of London, in collaboration with three companies based in London: Shadow Robot, Google DeepMind and
Ocado. The research will be carried out at ARQ, the Advanced Robotics centre at Queen Mary, and within the school of EECS (Electronic Engineering and Computer Science), under the supervision of Dr Lorenzo Jamone.

The overall aim of the project is to improve dexterous robotic manipulation in terms of autonomy, adaptability, flexibility and robustness: in other
words, to make it more human-like. Data-driven learning and control, bootstrapped by human demonstrations, is the most appealing solution to
achieve this improvement. Also, human demonstrations will be more effective if the human has access to the same sensory feedback the robot has (nothing
more, nothing less) and if multimodal sensory feedback is available (vision, touch, proprioception); this is now possible due to the recent
advances in VR and sensing technologies. This leads to the three main objectives of MAN^3: developing a system for natural human-robot
demonstration of manipulation actions through immersive teleoperation (O1); delivering a solution for robust robotic grasping and dexterous in-hand
manipulation based on human demonstrations and robot learning (O2); applying the proposed solution to the human-demonstrated robotic picking,
handling and placing of delicate food items (O3).

Candidates must have a PhD degree in Robotics, Electronic or Mechanical Engineering, Computer Science, or related areas, with a solid publication
track record. Candidates should have good knowledge of computer programming (C++/Python) and software integration for robotics, robot control, and
basics of signal processing and electronics. Good knowledge of machine learning, estimation and optimization is highly desirable. Experience with real robotic hardware is essential, and experience with robotic manipulation, robot vision and tactile sensing would be highly beneficial. Solid knowledge of Linux and ROS environments is also highly desirable.

The post is a full time, fixed term appointment for the period of 36 months or until 31 December 2021 (whichever is the shorter), with tentative
starting date on 1 January 2019. Starting salary will be in the range of £33,615 - £37,411 per annum inclusive of London Allowance. Benefits include 30 days annual leave, pension scheme and interest-free season ticket loan.

Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where
required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.

QMUL (Queen Mary University of London) is a leading research oriented UK university, ranking top 20 in the UK and top 100 in the world (link). Located in the booming creative high-tech cluster of east London (link), the university hosts several multidisciplinary research groups in cognitive science, intelligent sensing, computer vision, multimedia, advanced materials, control, aerospace, and more. QMUL has recently opened a new centre for robotics (ARQ - Advanced Robotics @ Queen Mary, link), which is rapidly expanding and now counts more than 40 active brains including faculty members, postdocs, PhD students and a few non-completely-brainless robots. Join us!


Lorenzo Jamone - Lecturer in Robotics ARQ - Advanced Robotics at Queen Mary School of Electronic Engineering and Computer Science - link
Queen Mary University of London - link link

Visiting Associate Researcher at VisLab (ISR/IST-Lisbon)
VisLab - link
Institute for System and Robotics - link
Instituto Superior Técnico - link

(Source: robotics-worldwide)


George Washington University | Multiple PhD openings in robotics and control
Washington DC

Add on 4 October, 2018

Flight dynamics and control lab of the George Washington University at Washington DC is looking for new doctoral students. There are three open positions for the following projects.

1. Aerial Mapping and Situation Awareness

This project aims to develop aerial robotic systems to monitor a complex urban environments, create a real-time map, and share it with other autonomous vehicles. Backgrounds in the following topics are desired.

b. ROS
c. Machine learning
d. Image processing

This position will be funded by NSF.

2. Dynamics and Control of Flapping Wing Unmanned Aerial Vehicle

This project aims to uncover the biomechanics of Monarch butterflies exhibiting the longest flight range among insects, and to utilize it to develop bio-inspired control schemes for long-range flapping-wing micro aerial vehicles. Backgrounds in the following topics are desired.

a. Nonlinear dynamics
b. Nonlinear control theory
c. Aerodynamics
d. Geometric mechanics

This position will be funded by NSF.

3. Uncertainty Propagation for Hybrid Systems

This project is to construct comprehensive computational techniques for stochastic analysis of hybrid systems evolving on a nonlinear configuration manifold, including uncertainty propagation, Bayesian estimation, and stochastic optimal control schemes.

In particular, backgrounds in the following topics are desired.

a. Stochastic analysis
b. Hybrid systems
c. Estimation
d. Geometric mechanics

This position will be funded by AFOSR.

For every position, it is expected that the candidates have expertise in structured programming.

To apply, or to request more information, please contact Prof. Taeyoung Lee at The application should include CV, a list of publications, and a list of reference, and it should be submitted as a single PDF file.

(Source: robotics-worldwide)


University of Lincoln | Postdoctoral Research Fellow in AI for Long-Term Autonomy

Add on 1 October, 2018

[jobs] Postdoctoral Research Fellow in AI for Long-Term Autonomy

School of Computer Science, University of Lincoln, UK

Salary: From £33,199 per annum
Please note this post is full time and fixed term for up to 2 years.
Closing Date: Wednesday 31 October 2018
Interview Date: Wednesday 15 November 2018†
Reference: COS587A

Enabling robotic systems to perform autonomously in complex, real-world scenarios over extended time periods (i.e. weeks, months, or years) poses many challenges. Some of these have been investigated by sub-disciplines of Artificial Intelligence (AI) including navigation and mapping, perception, knowledge representation and reasoning, planning, interaction, and learning.

The University of Lincoln is seeking to appoint a Postdoctoral Research Fellow to join the Lincoln Centre for Autonomous Systems (L-CAS). The successful candidate will be employed as part of the Horizon 2020 project ILIAD, involving fleets of robots that operate in intralogistics applications with a high demand on flexibility in environments shared with humans (see

We are looking to recruit a postdoctoral Research Fellow with relevant experience and/or a keen interest in a number of research areas, including (not exclusively):

* AI methods for long-term robot autonomy;
* Persistent mapping and navigation;
* Long-term robotic perception;
* Human activity monitoring and prediction;
* Machine learning for autonomous robots;
* Systems integration, including ROS.

Applicants should have, or expect to soon obtain, a PhD in a relevant area. You must have excellent mathematical and coding skills (C++/Python, ROS). The new position offers the opportunity to engage in international collaboration within an ambitious team, to work with state-of-the-art robotic hardware and software, and to benefit from excellent support to produce and disseminate original research contributions in the leading conferences and journals.

This post will be fixed term for up to 24 months from 1st Jan 2019, with excellent opportunities for ongoing career development and progression. The successful candidate will contribute to the Universityís ambition to achieve international recognition as a research intensive institution and will be expected to design, conduct and manage original research in the above subject areas as well contribute to the wider activities of L-CAS.

Meet us at IROS 2018: Informal enquiries about the post can be made to Prof Tom Duckett (email: tduckett at, Prof Marc Hanheide (email: mhanheide at, or Dr Greg Cielniak (email: gcielniak at We are all attending IROS 2018, so please feel free to contact us if you would like to meet for a chat during the conference.

To apply, please use the online application form at: link

Professor Tom Duckett FRSA
School of Computer Science
University of Lincoln
Brayford Pool

(Source: robotics-worldwide) | Fully funded PhD/Master positions

Add on 26 September, 2018

The  has a number of fully funded PhD/Master positions. PhD and Master applicants with the background in Engineering and Computer Science (Robotics, Control Engineering, Robot Vision and AI) are preferable. Good knowledge in Math and practical experience in Computer Programming are required. Hands-on skills in ROS and Matlab are highly expected.

*Position 1*: High-level Perception for Human-robot Interaction and Collaboration

Good knowledge in computer vision/robot vision is required. Practical experience in sensor fusion and data association is plus.

*Position 2*: Socially Capable Mobile Robot Navigation

Good knowledge in robot perception, path planning, motion planning and control is required. A strong background in algorithms is plus. Hands-on skills of system integration are highly expected.

*Position 3*: Deep Reinforcement Learning for Socially aware Robot Navigation

Fundamental knowledge in machine learning for robotics is required. Practical experience of applied AI in robotics and autonomous systems is highly expected.

*Position 4*: Multi-robot Systems/Swarm Robotics

Solid background in Math and Control Theory is required. Algorithmic thinking and programming skills are required for this project.

You can find our demonstration of our research projects at: here

Please contact the lab director, Trung Dung Ngo ( for more information. You should send your CV, degrees and transcripts, samples of your research work along with a research statement expressing your interests in a position.

*If you are in IROS2018, please send an email for a private meeting. You can also join me at the workshop "Robotic Co-worker 4.0".*



*Trung Dung Ngo, Ph.D, P.Eng, SMIEEE*
*Associate Professor*
*Director of the More-Than-One Robotics Laboratory*
*Lead Researcher for Center for Excellence in Robotics and Industrial Automation*
*Faculty of Sustainable Design Engineering*
*University of Prince Edward Island*
*550 University Avenue, Charlottetown*
*Prince Edward Island**, CANADA C1A 4P3*
Tel: +1-902-566-6078
*Email: , *
*Faculty: <> *

(Source: robotics-worldwide)


New York University at the ARPL | Multiple PhD positions
New York City, New York

Add on 25 September, 2018

 Dear colleagues,

the Agile Robotics and Perception Lab at the New York University is looking for 2 outstanding PhD students in the area of robotics, perception and machine learning

- *Position 1: Vision-based Agile Autonomous Navigation of Micro Aerial Vehicles*
- *Position 2 Human-aware perception and control of Micro Aerial Vehicles*

The lab performs fundamental and applied research in the area of robotics. The main mission of the lab is to create agile autonomous flying machines that can navigate all by themselves and collaborate with humans in different tasks using only onboard cameras, without relying on external infrastructure, such as GPS or motion capture systems. These machines need to be active and they should react to and navigate within their environment capturing its key properties.
Some related videos can be found at here

The lab has been founded by Prof. Giuseppe Loianno and is located in New York. The lab is fully equipped with a flying space and multiple aerial and ground robots.

The lab currently collaborates on numerous projects with worldwide partners institutions and companies (e.g. University of Pennsylvania, ARL, Qualcomm, TEPCO, SWRI, MIT, University of Zurich and ETH Zurich,..) You will get a very competitive salary and access to excellent research facilities (motion capture, 3D printing, a large flying arena, electronic and machine workshops).

New York is well known to be one of the most vibrant and exciting cities in the world. The lab and the school have a very enjoyable work atmosphere and organize many social events.

Candidates should send an email to loiannog at with subject line PhD application Position #. Candidates will need a one-page research interest
statement, CV, and 3 contact references when submitting the application. Candidates without the requested requirements will not be considered for
the positions.

*Position 1: Vision-based Agile Autonomous Navigation of Micro Aerial Vehicles*
The candidate will create revolutionary algorithms combining perception action loop paradigms and machine learning schemes to enable and enhance agile navigation of multiple aerial platforms in dynamic and unstructured GPS-denied environments using vision as the main sensing modality. The position involves the development of novel algorithms to achieve robust and control of single and interconnected small scale Micro Aerial Vehicles (MAVs) and the development of high-performance MAV systems that can operate in extreme and challenging environments.


- Master degree or outstanding bachelor students in computer engineering, computer science, electrical engineering, mechanical engineering, robotics, physics, or related fields
- Excellent written and spoken English skills
- Be self-motivated and independent
- A strong interest in robotics, programming, computer vision, and mathematics
- Strong Experience with C/C++, ROS, OpenCV, TensorFlow, GPU optimization skills

*Nice to have*

- Background in filtering approaches to fuse multiple sensor data and real time control
- Previous experience in closed loop control, computer vision and state estimation
- Familiarity with LIDAR/Vision-based SLAM, Machine Learning for Semantic Classification
- Familiarity with tools such as Git is desirable

*Position 2 Human-aware perception and control of Micro Aerial Vehicles*
The candidate will develop new fundamental theories and algorithms to enable flying machines to collaborate with human in unstructured environments, at high speed and in a resilient way. The proposed approaches will help to obtain new ways of human-robot interaction helpful in tasks such as collaborative mapping of building, environment inspection, and transportation. The candidate will also study human behaviors and try to analyze reactive policies the drone has to take to accommodate human intention. This position involves to work using wearable different devices and communication protocols to interact with the robots.


- Master degree or outstanding bachelor student in computer engineering, computer science, electrical engineering, mechanical engineering, robotics,
physics, or related fields
- Excellent written and spoken English skills
- Experience with C/C++, Python, and ROS, Machine Learning tools, GPU optimization skills
- Be self-motivated and independent
- A strong interest in robotics, programming, and mathematics

*Nice to have*

• Familiarity with tools such as Git is desirable
• Previous works using wearable devices

Dr. Giuseppe Loianno
Assistant Professor
Director of the Agile Robotics and Perception Lab
NYU Tandon School of Engineering
Main organizer of the Vision-based Drones: What's Next? workshop at IROS
2018 in Madrid
Media: link

(Source: robotics-worldwide)


Dartmouth | Open Postdoc position in Robotics
Hanover, New Hampshire

Add on 24 September, 2018


A postdoctoral fellow position on multirobot systems and active sensing.

-- MENTOR --

Prof. Alberto Quattrini Li

Robotics Lab, Computer Science Department, Dartmouth College

Web: link


The successful postdoc candidate will work on multirobot systems for active sensing -- with a main focus on the marine domain -- designing algorithms and assessing them through simulations and field trials with surface and underwater robots.

The postdoc is expected to carry out research; write papers for conferences and journals; participate in preparing proposals for research funding and in writing project reports; assist in organizing research meetings and workshops; and mentor graduate students.

The expected duration of the position is one year with renewal subject to funding availability and performance. Note that benefits will be provided.

Positions are available immediately with a possible option of starting in Winter, 2019. Candidates applying before October 31, 2018 will be given full consideration; applications will continue to be accepted until the positions are filled.

We recognize that strength comes through diversity and actively seek and welcome people with diverse backgrounds, experiences, and identities. We encourage women and minority candidates to apply.


- Ph.D. in Robotics, AI, Computer Science, Engineering

- A strong theoretical and practical background in multirobot coordination and decision-making under uncertainty

- Programming skills including experiences using C++ and/or Python

- Great presentation skills, both written and oral

- Experiences with ROS, networking, computer vision, machine learning techniques (deep learning, Gaussian Processes, …), and real robots will be a plus.


To apply, send a single file containing:

1. CV

2. One page summary of research interests

3. One page thesis abstract

3. Names and contact information of at least three references

4. Dates of availability

5. A personal website, if available, where further details can be found


with a subject line:

POSTDOC APPLICATION 2018: LastName, Firstname

Applicants should also indicate if they will be in Madrid during IROS2019 for a possible meeting.


The robotics laboratories at Dartmouth have a variety of robotics platforms, currently including 19 Turtlebot 3, 5 Parrot AR.Drone 2.0, an Adept SCARA arm, an ABB 6-DOF robot arm. More ground and marine platforms are being ordered, including a BlueROV2.

The lab also contains a small shop for construction of robot parts and prototypes. For rapid prototyping, we have an FDM 2000 rapid prototyping machine, band saw, drill press, and hand tools, as well as access to Dartmouth Thayer Engineering School machine shop and rapid prototyping facilities.


Dartmouth College, a member of the Ivy League, is located in Hanover, New Hampshire (on the Vermont border). Home to Dartmouth College, the Upper Connecticut Valley is a vibrant, academic and professional community offering excellent schools, lively arts, and an unmatched quality of life in a beautiful setting. Amenities associated with urban areas in Boston MA, Burlington VT, and Montreal QC are all within a few hours drive.


Alberto Quattrini Li

Assistant Professor

Department of Computer Science

Dartmouth College

web: link

(Source: robotics-worldwide)


Arizona State University | Open Postdoctoral Positions in Robotics and Machine learning
Tempe, Arizona

Add on 18 September, 2018

Open Postdoctoral Positions in Robotics and Machine learning

The Interactive Robotics Laboratory (Ben Amor Lab) at Arizona State University invites applications for multiple postdoctoral positions with expertise in robotics, machine learning, and human-robot interaction. Positions are for 1 year each with the potential to be extended based on project performance. Postdoctoral fellows will collaborate on two projects funded by NASA and the National Science Foundation.

The focus of our research is on the development of novel reinforcement and imitation learning techniques for robot motor skill acquisition, e.g., grasping, walking, or human-robot collaboration. We are particularly interested in developing sample-efficient learning methods that incorporate multimodal input data. We are looking for talented postdoctoral fellows with a strong interest in one or multiple of the following topics:

- Imitation Learning
- Reinforcement Learning
- Machine Learning for Computer Vision
- Human-Robot Interaction and Collaboration
- (Bi-Manual) Grasping and Manipulation
- Robot Control and Learning for Control

Applications to:

Initial Review Date: October 29, 2018

- Excellent written and verbal communication skills,
- Strong background in machine learning, mathematics, statistics, programming,
- A Ph.D. degree in Computer Science, Mathematics, Mechanical Engineering, or related topics,
- Excellent academic track record, with publications at top conferences, e.g., IROS, ICRA, RSS, AAAI, ICML, NIPS and Journals
- Experience with Linux, ROS, Git, OpenCV, PyTorch or any Deep Learning libary, and other robotics-related software platforms
- Ability to work in a collaborative team

About the ASU - Interactive Robotics Lab
Postdoctoral fellows will be embedded in a vibrant research group lead by Heni Ben Amor which is centered in Tempe, USA. The research group has strong collaborations with leading robotics and machine learning research groups in the US, Europe and Japan. Successful applicants will be encouraged to engage in these collaborations by visiting our collaborators abroad. Besides academic labs, we also closely collaborate with industrial partners including Honda Research Institute, Intel, Elementary Robotics and others.

To Apply
Please submit as one PDF document a detailed letter of application stating qualifications and experience; curriculum vitae; and ideally two writing samples to Heni
Ben Amor at:

Initial review of applications will begin on October 29, 2018 and continue every week thereafter until the search is closed.

About the Work Environment
Arizona State University ( is a public research university with ~83,000 students spread over five campuses across the Phoenix metropolitan area, Arizona. ASU is classified as a research university by the Carnegie Classification of Institutions of Higher Education and is ranked among top research universities in the U.S., both private and public. Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major
responsibility for the economic, social and cultural vitality of the communities that surround it.

Dr. Heni Ben Amor
Assistant Professor
Arizona State University
WEB: link
LAB: link

(Source: robotics-worldwide)


Rice University + NASA | 3 positions in perception/manipulation/sensing (PhD ./ post-doc / research assistant)

Add on 17 September, 2018

PhD / Research Assistant / Post-doc Positions in Perception, Manipulation, and Tactile Sensing for Bipedal Humanoid Robotics

Mechatronics and Haptic Interfaces Lab; Rice University; Houston, TX USA jointly with NASA Johnson Space Center's Robotic Systems Technology Branch; Houston TX

Rice University's Mechatronics and Haptic Interfaces Lab, directed by Professor Marcia O'Malley, is seeking candidates to fulfill three research and development positions in the areas of robotic perception, manipulation and tactile sensing development. Individuals recruited to fill these positions will be collaborating closely with NASA Johnson Space Center, and will be focused on bipedal humanoid application development.

Position types: We are recruiting prospective post-docs, full-time research assistants (with at least an MS degree), and/or PhD students to fulfill these roles. Salary/stipend will be commensurate with prior experience. Prospective PhD students are expected to join Rice University's PhD program in Mechanical Engineering effective January 2019.

Perception: A successful candidate will have a background in perception development for robotic systems, with a focus on fusion of LIDAR and image data to detect both objects and obstacles in a robot's environment. The candidate will be developing perception algorithms and pipelines for the Valkyrie bipedal humanoid, which uses a Carnegie Robotics MultiSense SL head for its primary vision based sensing. The ideal candidate will have experience developing robotic software using ROS on Linux Ubuntu operating systems, Python and C++ programming experience, and experience using the Git version control system. It is highly desired that the candidate has
experience in porting perception algorithms to physical robots and testing those algorithms in real-world environments.

Manipulation: A successful candidate will have a background in manipulation development for robotic systems, with a focus on intelligent grasping of objects. The candidate will be developing intelligent grasping capabilities for the Valkyrie bipedal humanoid, integrating perception data with haptic/force data to increase the current autonomous manipulation capabilities of Valkyrie. The ideal candidate will have experience developing robotic software using ROS on Linux Ubuntu operating systems,
Python and C++ programming experience, and experience using the Git version control system. It is highly desired that the candidate has experience in dual-armed manipulation and/or humanoid manipulation. It is also desired that the candidate has experience with physical robots and testing manipulation algorithms in real-world environments.

Tactile Sensing: A successful candidate will have a background in tactile sensing (systems integration and data processing) for robotic systems. The candidate will analyze existing tactile sensing in NASA's Valkyrie robot hand, and will explore the potential to increase sensing capabilities with existing modular fingers. The candidate will formulate and plan a technology development path to improve finger and sensor design and integration to support improved manipulation capabilities to handle fine motions without haptic feedback to an operator. The ideal candidate will have experience developing robotic software using ROS on Linux Ubuntu operating systems, Python, and C++ programming experience. Experience in both hardware integration and algorithm development and experimental validation is desired.

Each position is expected to be funded for twelve months. The candidates must be U.S. citizens or permanent residents, as the majority of his/her duties will be performed at NASA Johnson Space Center in Houston, TX. Candidates are expected to produce at least one scientific publication while funded and will be expected to provide documentation of all development and a final report upon conclusion of the position.

Application Process: Interested applicants should send, in a single email with 'RICE-NASA' in the subject line, to, the following
1. In the body of the email:
a. A summary of research background and interests (<300 words)
b. Position sought (Post-doc, full time research assistant (not degree seeking), or PhD student (degree seeking))
c. If applicable, MS and/or Doctoral dissertation topic
c. Desired / available start date
2. As attachments (pdf)
a. Curriculum vitae including list of publications
b. Contact information for at least 3 references

Review of applications will begin immediately, and applicants are strongly encouraged to apply by October 1, 2018 for strongest consideration. Start dates are intended to be between October 1 and December 31, 2018. Applications for these positions received after December 1, 2018, will not be considered.

Rice University, an equal opportunity employer and a Tier 1 Research University, is located in the vibrant urban setting of Houston, TX, the fourth largest city in the U.S. The MAHI Lab, directed by Prof Marcia O'Malley, focuses on the design, manufacture, and evaluation of mechatronic or robotic systems to model, rehabilitate, enhance or augment the human sensorimotor control system. To this end, we employ analytical and experimental approaches from the field of dynamic systems and controls, with
inspiration from human motor control and neuroscience. link

The Lyndon B. Johnson Space Center (JSC) is the National Aeronautics and Space Administration's Manned Spacecraft Center, where human spaceflight training, research, and flight control are conducted. The Robotic Systems Technology Branch is responsible for the research, engineering, development, integration, and application of robotic hardware and software technologies for specific flight and ground robotic system applications in support of human spaceflight. The vision is to have humans and robots working side-by-side in the pursuit of exploration. Advanced robotic systems technology efforts include both remotely controlled and autonomous robots for space and terrestrial application, as well as intelligent robotics for high value functionality. Technology focal areas within the Branch include: Autonomy, Dexterous Manipulation, Human-Robot Interaction, Embedded Control Systems, Simulation, Tele-presence, Power Dense Actuation, and Sensing. link

Marcia K. O'Malley (Marcie), Ph.D.
Stanley C. Moore Professor of Mechanical Engineering
Director of Graduate Studies in Mechanical Engineering
Special Advisor to the Provost on Education and Research Initiatives for Collaborative Health (ENRICH)
Rice University

6100 Main Street MS 321
Houston, TX 77005-1892
Phone: (713) 348-3545, Fax: (713) 348-5423 - link

(Source: robotics-worldwide)


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