Jobs in Robotics
Researchers from accredited universities and non-profit research institutions can submit an internship offer for which German students from the fields of engineering, natural and earth sciences, medicine, computer science or related disciplines may apply. A successful applicant will receive a DAAD scholarship to carry out a research stay in your working group.
More details could be found at:
Portal for internship providers! | RISE (daad.de)
School/Department: School of Computer Science and Statistics
Contacts: Carol.OSullivan@tcd.ie and/or Gregory.OHare@tcd.ie
Job Category & Level: Academic, Associate Professor (Tenured)
The Purpose of the Role:
The School of Computer Science and Statistics is seeking to appoint an Associate Professor in Computer Science, who will join the internationally highly regarded Discipline of Graphics and Vision. The Associate Professor will be a full faculty member, and as such will be expected to innovate in both research and teaching, to assist in the administration and mission of the School and contribute to the wider research community. The appointee should be a well-established researcher in the field of Computer Vision or another closely related area, with an internationally recognized research programme. The successful candidate will be expected to contribute to undergraduate and/or postgraduate teaching in the School, particularly in Computer Vision, Augmented Reality and related areas. The appointee will also be expected to build an internationally recognised research team and supervise doctoral students.
Applications are encouraged from candidates with expertise in Computer Vision and closely related areas, including but not limited to: Image Processing, Computational Photography, Pattern Recognition, Augmented Reality, Virtual Reality, Holography, 3D Multimodal Interfaces and Machine Learning for Vision. The successful candidate will be able to evidence excellence in both research and lecturing, have a strong international research track record and evidence of research leadership. They should have a strong commitment to research-led undergraduate and postgraduate teaching and a demonstrated capacity/potential to attract research funding and develop a world-class research programme. Evidence of research supervision of doctoral students is also expected.
The successful candidate must have a PhD in Computer Science or a related discipline.
Applications should be made via the TCD vacancies page at:
Deadline: Tuesday 27th September 2022
Applicants should provide the following information:
1. A comprehensive curriculum vitae, including a full list of publications.
2. The names and contact details (i.e. addresses, e-mail, etc.) of three referees.
3. A research plan summarising research to be carried out in the next two years and including sources of funding – max 2 pages.
4. A teaching statement summarising teaching experience and approach – max 2 pages.
PLEASE NOTE: Candidates who do not submit this additional information may not be considered for shortlisting
Candidates should note that the interview process for this appointment will include the delivery of a presentation to the School.
Further Information for Applicants
For further information about the School of Computer Science and Statistics, see: https://www.scss.tcd.ie//
For further information about Trinity College Dublin, see:
Candidates wishing to discuss the post informally and in confidence should email Carol O’Sullivan, Professor of Visual Computer and Head of the Graphics and Vision discipline:
The faculty is looking for candidates, who have an internationally visible research profile in robotics and who used modern machine learning methodology for their research. They should be able to represent their research field in both research and teaching. The professorship is explicitly available also to highly qualified young researchers, who showed the potential for building up an internationally leading research group.
The professorship is integrated in a strong research environment that focuses particularly on machine learning and embedded systems. Collaboration with both areas will be expected. Further, the professorship is part of the Center for Intelligent Machine-Brain lnterfacing Technology (IMBIT), which links robotics, neuroscience and microsystems engineering. lt is expected that candidates show openness to provide their robotics expertise into this interdisciplinary research center.
The professorship must support the teaching in the Bachelor and Master programs in Computer Science and Embedded Systems Engineering.
Prerequisites for the employment of Professors are a university degree, an outstanding dissertation and an excellent publication record. Substantial achievements and experience in academic research and teaching, at the level of a Habilitation according to the German academic system, are expected.
We are particularly pleased to receive applications from women for the position advertised here.
The following application documents are to be submitted:
Please send your application in English including supporting documents mentioned above and the application form https://intranet.uni-freiburg.de/public/downloads/saz/bewerbungsbogen-professoren-en.pdfciting the reference number 00002433, by 11.09.2022 at the latest. Please send your application to the following address in written or electronic form:
University of Freiburg, Faculty of Engineering, Dean, Georges-Koehler-Allee 101, 79110 Freiburg, Germany, e-mail: firstname.lastname@example.org.
(via e-mail in a single PDF-file) You will receive an electronic acknowledgement of receipt within one week.
For further information, please contact Dr. Rainer Giersiepen on the phone number +49 761 203-8085 or E-Mail email@example.com. Further information on the appointment procedure can be found in the Code for Practice for professorial appointments https://intranet.uni-freiburg.de/public/downloads/saz/berufungsleitfaden-en.pdf.
The original annoucement is availabe at https://uni-freiburg.de/university/jobs/00002433/
The Robotics Institute at Carnegie Mellon University has an opening for a Teaching Faculty member. Teaching track faculty are responsible for teaching courses and enjoy the flexibility and opportunity to engage in broader aspects of our educational programs, including to pursue research, advise students, design, or participate in outreach programs for students and teachers, create new courses, explore and experiment with new teaching methodologies, write course materials including books and online resources or other related interests. Teaching is usually in our core courses alongside other faculty, providing critical insight on pedagogy and maintaining overall learning outcomes, but some teaching track faculty also teach in specialized areas.
The Robotics Institute at Carnegie Mellon University was established in 1979 to conduct basic and applied research in robotics technologies relevant to industrial and societal tasks. Seeking to combine the practical and the theoretical, the Robotics Institute has diversified its efforts and approaches to robotics science while retaining its original goal of realizing the potential of the robotics field.
Candidates should have a Ph.D. with deep expertise in robotics and a background of demonstrated excellence and dedication to teaching. Candidates must be prepared to teach extensive lecture courses at the advanced undergraduate and introductory/intermediate graduate-level and also be prepared to work with the existing faculty of the department to establish, improve, and standardize the curriculum.
We particularly encourage applications from candidates who have a demonstrated track record in mentoring and nurturing female and underrepresented minority students. Applicants looking for a primarily research-based position or those who are looking to teach solely advanced courses are not a good fit for this position. Positions include Assistant Teaching Professor, Associate Teaching Professor, Teaching Professor.
For more information about teaching faculty appointments at Carnegie Mellon, please read the https://www.cmu.edu/policies/faculty/appointments-teaching-track.html
Review of teaching track applications will begin in the Fall, and we encourage candidates for the teaching track to submit their application by the early review deadline of October 2, 2022.
For any questions regarding applications, please email firstname.lastname@example.org.
Carnegie Mellon University shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.
The Robust Field Autonomy Lab (https://robustfieldautonomylab.github.io) at Stevens Institute of Technology is seeking a Postdoctoral Researcher to contribute to two DoD-sponsored projects related to robot learning. The first project considers the use of graph neural networks and deep reinforcement learning to permit a team of GPS-denied mobile robots to safely and rapidly navigate known environments and explore unknown environments under localization uncertainty. The second project considers the use of distributional reinforcement learning to permit autonomous vehicles to effectively manage aleatoric uncertainty in complex, stochastic environments.
The initial term of appointment is one year, with the possibility of renewal based on satisfactory performance and availability of funding. Due to the requirements of the sponsor, candidates must be U.S. citizens. Prospective candidates should hold a PhD in a relevant engineering discipline.
Interested candidates should send a CV and a brief (< 500 words) statement of their research background and interests to Brendan Englot (email@example.com). Questions about the position are also welcome. Review of applications will start immediately, with the goal of identifying a candidate who can begin contributing to the research during the Fall 2022 semester.
Applications are invited for appointment as Research Assistant Professor (RAP) in the Department of Electronic Engineering, The Chinese University of Hong Kong (CUHK), to commence as soon as possible for 3 years, with the possibility of renewal subject to satisfactory performance and funding availability.
The appointee will work closely with faculty members who sponsor the RAP in the Department to enhance the existing strengths. Information about relevant research in the Department can be found at http://www.ee.cuhk.edu.hk/. The appointees are expected to be able to apply for RGC GRF grants and similar external competitive grants. The appointee is also expected to undertake light teaching duties at undergraduate and postgraduate levels.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.
[RESEARCH AREA OF INTEREST]
Medical Robotics, Image-Guided Procedures, AI, Perception & Applications:
Particularly, the main areas of interest include AI-assisted endomicroscopic procedures, Medical Image Processing, biorobotics & intelligent systems, multisensory perception, AI learning and control in image-guided procedures, medical mechatronics, continuum, and soft flexible robots and sensors, deployable motion generation, compliance modulation/sensing, cooperative and context-aware flexible/soft sensors/actuators in human environments.
The scholars will have opportunities to work with an interdisciplinary team consisting of clinicians and researchers from robotics, AI & perception, imaging, and medicine.
* Ph.D. degree in robotics, AI, Computer Science/Engineering, Electronic or Mechanical Engineering, medical physics, automation, or mechatronics background
* Preferably have proven expertise in AI/robots/sensors, instrumentation, intelligent systems, magnetic actuation, ROS, general purpose robotic control
* Fluency in written and spoken English, good organizational skills, the ability to work independently, a strong sense of responsibility, and self-motivation are essential.
* Outstanding academic records/publications or recognitions from worldwide top-ranking institutes
[HOW TO APPLY]
Qualified candidates are invited to express their interests through an email with detailed supporting documents (including CV, objective, research interests, education background, experiences, representative publications, and demo projects) to Prof. Hongliang Ren ASAP by email: <firstname.lastname@example.org>.
We appreciate candidates' understanding that only shortlisted candidates will be informed/invited to interview.
The Multisensory devices group is an interdisciplinary research group with a core interest in creating new forms of interactive multimodal user experiences through the design and implementation of novel sensors and actuators.
· Develop high-performance multi-robot path planning algorithms based on machine learning, game theory and cooperative control techniques.
· Creation of demonstrable and interactive robotic prototypes for distributed acoustic levitation.
The post is funded for 3 years on a full-time basis in the first instance with opportunities for extension depending on the labs funding situation.
The position would be suitable for someone interest in robotics and artificial intelligence, with experience in one or more of the following areas
a) Multi-agent systems (path planning, task allocation, learning, control, etc.)
b) Mechatronics (design and build innovative robotic prototypes)
c) Hardware experience with mobile robots and/or unmanned aerial vehicles.
d) Acoustic levitation and ultrasound modulation.
A job description and person specification can be accessed at the bottom of this page.
To apply for the vacancy please click on the ‘Apply Now’ button below.
If you have any queries regarding the vacancy or the application process, please contact Dr. Junyan Hu at email@example.com.
UCL Taking Action for Equality
12 Sep 2022
Latest time for the submission of applications
Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.
This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.
Topic: Neurocognitive Training via Child-Robot Interaction using EEG-Neurofeedback to Monitor Children's Concentration towards Improving Academic Engagement
Applications are invited for a Ph.D. scholarship to be undertaken within the School of Physics, Engineering and Computer Science at University of Hertfordshire, Hatfield, United Kingdom. The successful applicant will join an established group of Robotics and A.I. within the Computer Science Department to work with Child-Robot Interaction for Developmental Disorder Interventions.
Applications will be accepted until September 2022. We will shortlist the candidates in early October and invite them for an online interview. We expect the selected candidate will start the research/studies no later than January 2023.
A full-time postdoctoral researcher position is available (after Oct. 1, 2022) at the Robotics and Medical Systems (RaMS) laboratory (https://rams.engr.ucr.edu/) led by Dr. Jun Sheng in the Department of Mechanical Engineering at University of California Riverside (UCR). We are dedicated to addressing challenges in the medical domain by inventing robot techniques on multiple scales. The postdoctoral researcher will focus on the “Flexible Robotic Evacuator for Minimally Invasive Brain Tumor Therapy” project, funded by the University of California Office of the President (UCOP). This project will be conducted in collaboration with medical experts from City of Hope National Medical Center and Loma Linda Medical Center. We aim to design and develop new soft robotics technologies to enable more efficient, effective, and safer brain tumor removal. The postdoctoral researcher will perform research in the areas of robot mechanisms, design, and control.
Candidates must have a PhD in Robotics, Mechanical Engineering, or Electrical Engineering and background in Mechanism Design, Mechatronics, and Control Systems. The annual salary will be $55,632, and all benefits will be covered. A standard one-year contract will be offered. Renewal with a two-year contract will be possible. Please send the following documents in one PDF file to Dr. Jun Sheng by email (firstname.lastname@example.org):
The Computer Vision Laboratory at Toronto Metropolitan University is looking for a Postdoctoral Fellow in the broad areas of computer vision and machine learning/deep learning. The ideal candidate should have a Ph.D. in a related area with demonstrated ability to conduct high-quality research in computer vision and machine learning and have a track record of publications in top venues. The position is for 2 years with a possibility for renewal. Please refer to the website for details: https://www.cs.ryerson.ca/~wangcs/jobs.html
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