Robotics societyof singapore

新加坡机器人学专业协会

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Jobs in Robotics

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  • 12 Sep 2022 12:39 PM | Anonymous

    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)

  • 10 Sep 2022 10:00 AM | Anonymous

    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.

    Context:

    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.

    Qualifications:

    The successful candidate must have a PhD in Computer Science or a related discipline.

    Application Information

    Applications should be made via the TCD vacancies page at:

    https://my.corehr.com/pls/trrecruit/erq_search_package.search_form?p_company=1&p_internal_external=E

    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:

    https://www.tcd.ie/

    https://www.youtube.com/watch?v=DbZALsDfLuU

    https://www.youtube.com/watch?v=3YN6asK2ixw

    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:

    Carol.OSullivan@tcd.ie and/or Professor Gregory O’Hare, Head of School of Computer Science & Statistics: Gregory.OHare@tcd.ie


  • 28 Aug 2022 12:37 PM | Anonymous

    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:

    • Curriculum vitae, certificates of degrees and academic qualifications
    • Complete list of papers and invited lectures, specifying the 5 most important publications; an existing Google Scholar Profile should be free from errors
    • Research profile and research statement about the planned scientific work
    • Record of classes taught and a teaching statement
    • Record of projects acquired; the funding amount attributed to the own group/ own person should be clearly indicated

    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: dekanat@tf.uni-freiburg.de.

    (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 giersiepen@tf.uni-freiburg.de. 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/


  • 28 Aug 2022 12:36 PM | Anonymous

    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 ri_hiring@ri.cmu.edu.

    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.


  • 28 Aug 2022 12:35 PM | Anonymous

    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 (benglot@stevens.edu). 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.  


  • 28 Aug 2022 12:34 PM | Anonymous

    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.

    [QUALIFICATIONS]

    * 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: <hlren@ee.cuhk.edu.hk>.

    We appreciate candidates' understanding that only shortlisted candidates will be informed/invited to interview.


  • 21 Aug 2022 4:35 PM | Anonymous

    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.

    Key Requirements

    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.

    Further Details

    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 junyan.hu@ucl.ac.uk.

    UCL Taking Action for Equality

    Closing Date

    12 Sep 2022

    Latest time for the submission of applications

    23:59

    Interview date

    TBC

    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.


  • 21 Aug 2022 4:34 PM | Anonymous

    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.

    Keywords: Cognitive (Socially Assistive) Robotics; CRI for Developmental Disorder Interventions; Computational Neuroscience; Applied Machine Learning.

    BACKGROUND
    Context & Significance: Undoubtedly, assistive technology in education helps children develop necessary skills, and it also opens up opportunities for a much more fluid learning experience while they have fun. However, for many children with any kind of impairment, adapted play opportunities are often limited. Inclusion in education contributes to the physical and psychological protection of children with special needs, their families, and communities. This research project aims to find ways to advance educational therapy towards assisting the facilitation of adaptive learning-related coping and improved cognitive skill outcomes in educational settings, focusing on aiding children with attention deficit and other related disorders. This includes studies on children behaviour and interaction, effects on their quality of life, social outcomes, and influences on learning experience. By providing means of improving children’s quality of life and well-being, we may prevent future problems through a developmental cascade of early intervention.

    Objectives of the Project:  This project will investigate the use of a robot (i.e. Kaspar Robot developed at Herts) with an intelligent adaptive behaviour that, for the first time, will personalise to each child based on user profiling and their engagement via emotional response and mental states of concentration levels. Every child who requires special education deserves to have that education tailored to their own specific needs, which will be enabled by monitoring brain activity and reacting accordingly. Brain-Computer Interfaces (BCI) will allow acquisition of brainwave patterns for classification of concentration levels (Neurofeedback) during the engagement in an educational environment. When the child’s concentration drops or the engagement monitored via facial feedback is low (i.e., lack of attention detected), the robot will learn to adapt to the child’s needs by changing challenges or providing new stimuli such as visual and/or auditory cues. The solution will be achieved via: (i) Development of new models for brainwave classification and signature generation to provide goal-based aims to be integrated into an AI-adaptive System; (ii) Data analysis of children’s brainwaves when interacting with Kaspar Robot and digital games to identify their concentration levels and compare concentration signatures to evaluate gains; and (iii) data analysis related to social and psychological aspects, such as behaviour (e.g. emotional response and length of engagement) via child’s facial and body expressions. With that we can check whether this approach is useful for inclusion in schools, and the acceptance of new technologies by both children and professionals of education and health care. The project’s goals can only be achieved by interdisciplinary collaboration between the multiple fields of engineering and informatics (A.I & Robotics), social psychology, computational neuroscience, and education.
     
    Person Specification
    The successful applicant should have a first class or upper second-class honours degree or equivalent qualification in Computer Science or Electrical Engineering or other related degrees.  Preferred skill requirements include basic knowledge of one or more topics such as machine learning, bio signals computation, artificial perception and/or robotics.  We would particularly like to encourage application from women seeking to progress their academic careers. University of Hertfordshire is committed to the principles of the Athena SWAN Charter, and we pride ourselves on our vibrant, friendly, and supportive environment and family atmosphere.

    Supervisory Team
    Dr Diego R. Faria, Principal Supervisor
    Dr Gabriella Lakatos, Co-Supervisor
    Dr Olga Tveretina, Co-Supervisor
    Prof. Farshid Amirabdollahian, Co-Supervisor

    How to Apply
    1) Download the application form: https://www.herts.ac.uk/__data/assets/pdf_file/0010/31105/uh-application-form_2022.pdf
    2) Complete the application form (in your local computer) and save it;
    3) Attach a short CV, two references and transcripts of previous academic degrees together with your application form, and email all documents to: doctoralcollegeadmissions@herts.ac.uk 
    and carbon copy (Cc) to: d.faria@herts.ac.uk 


  • 21 Aug 2022 4:32 PM | Anonymous

    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 (jun.sheng@ucr.edu):

     

    • ·       Latest CV (at least 2 references)
    • ·       Undergraduate and graduate transcripts
    • ·       2-3 published, accepted, and in-preparation papers.


  • 19 Aug 2022 9:56 AM | Anonymous

    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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