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新加坡机器人学专业协会

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Jobs in Robotics

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  • 28 Nov 2022 4:32 PM | Anonymous

    New methods in advanced computing and AI are increasingly contributing to revolutionary tools in scientific research and discovery. However, the current adoption of AI in scientific and engineering research is slow, unevenly distributed, and inconsistent. Better use of AI in science can help researchers ask better questions and find quicker and deeper answers.

     

    The Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship will seek to change how science is done by accelerating the incorporation of AI techniques into the natural sciences, engineering, and mathematical science (STEM), providing access to AI tools and training to the sharpest minds on the frontlines of scientific innovation. The Fellowship adds to Schmidt Futures’ efforts of more than $400M and counting to support talent that is developing and using AI in innovative ways to make the world better. 

     

    The Fellowship program will initially support approximately 160 postdoctoral Fellows across nine universities around the world each year, to learn and apply AI methods to their research. Each university site will select a new cohort, comprised of up to 20 Fellows, annually for up to six years. Universities joining the program will provide advanced AI training, funded research support, and professional development opportunities –– both to shape research in their own departments and to help build a global network of AI-trained scientists. 

     

    Expanding the Schmidt Futures portfolio of AI programs like AI2050AI Accelerator, and more, this Fellowship will broaden the range of human capabilities by supporting new approaches to scientific discovery and innovation through the rapid combination of AI methods towards STEM research. The Fellowship aims to create breakthroughs across a range of scientific fields –– from creating new drugs to fight disease, to detecting some of the faintest objects in the solar system, to helping produce and store energy more efficiently.

    In its inaugural year, the program is supporting fellows at nine universities across the United States, Canada, the United Kingdom, and Singapore, with plans to expand to additional countries in the future. 

     

    Schmidt Futures is interested in exploring partnerships for this Fellowship program with Universities in regions such as Latin America, Australia, Europe, Africa or India.

    More details could be found at: 

    Schmidt AI in Science Postdocs - Schmidt Futures

  • 7 Nov 2022 6:55 PM | Anonymous

    Overview

    The SG Academies South-East Asia Fellowship (SASEAF) Programme aims to attract bright postgraduate researchers from South-East Asia to Singapore research institutions for a 2-year long fellowship. This fellowship was first known as the SNAS ASEAN Fellowship in 2020, renamed to the SG Academies ASEAN Fellowship, then further revised to SASEAF in 2021. It is now administered by three academies in Singapore - the Singapore National Academy of Science (SNAS), together with the Academy of Medicine Singapore (AMS), and the Academy of Engineering Singapore (SAEng) - and funded by the National Research Foundation (NRF)

    Fellowship Support

    • A monthly stipend ranging from S$ 4,000 to 6,500. The exact figure will depend on the experience and performance of the Fellow.
    • An additional S$ 4,000 will be provided for overseas travel at the start and end of the 2-year long fellowship period. 
    • Access to professional development opportunities (events, seminars and training programmes). 
    • Opportunities to learn more about Singapore and to foster stronger ties and partnership between SASEA Fellows and Singapore.

    Eligibility

    • Citizenship: Applicants must be citizens of a South-East Asian country (not including Singapore) and non-Singapore-based.
    • Degree: Applicants must have a PhD Degree from a reputable institution.
    • Place of Work: Applicants who are currently residing and/or working in Singapore are not eligible, unless they have a confirmed job offer in public-sector research entities in their home countries with an appropriate start date after the Fellowship. Documentary proof of offer is required.
    • Age limit: Applicants should not be more than 40 years-old at the time of application.
    • Language: Applicants must be fluent in written and oral English.

    *We encourage diversity and welcome all eligible applicants, regardless of gender, culture, ethnicity, religion or any other demographics. 

    Documents Required for Application 

    • Application Form
    • Research Proposal (no longer than 2 pages) developed in consultation with the host professor(s) / PI(s) at the Singapore University.
    • Host professor / PI’s in-principle approval with his/her official email ID.
    • Certified copies of diplomas and transcripts.
    • Two recommendation letters from referees (e.g. current / past supervisors, collaborators etc.) stating your suitability for this fellowship. The letters should be submitted directly by your referee. Referees proceed to the SASEA Fellowship Reference Letter Upload form to access the reference letter template, submission instructions and upload portal.

    Note: Applicants need to combine their  Application Form and all required documents into one PDF document, titled ‘Applicant Name – SASEA Fellowship’, before proceeding to the SASEA Fellowship Document Upload form for submission.

    Review Criteria

    • Applicant’s training, aptitude and experience: Academic qualifications, performance, relevant experience, aptitude to benefit from the fellowship program and the ability to add value after his / her return home.
    • Relevance and Quality of the Research Proposal: The proposal must be well-designed, innovative and the stipulated outputs must be achievable during the fellowship tenure.
    • Personal Qualities: The applicant should continue to practice science after completion of this fellowship and contribute to scientific advancements through various means, including formal education, science promotion / application or policy-making, for a better and stronger South-East Asia. He or she must be someone who values collaboration between South-East Asian countries and will strive to foster strong bonds between academic bodies in the region. 

    The application deadline is 30 November, 2022 (Wednesday)

    For more information and application procedure, please visit our official website at https://snas.org.sg/aseanfellowship

    For queries, please contact the SNAS administrator at general@snas.org.sg


  • 28 Oct 2022 4:02 PM | Anonymous

    The Wallenberg - NTU Presidential Postdoctoral Fellowship, supported by the Knut and Alice Wallenberg Foundation, provides a unique career opportunity for early-career researchers who are keen to develop their career and gain international experience in both Asia and Europe. The fellowship covers two years of independent research, split evenly between Nanyang Technological University Singapore and with a Wallenberg AI, Autonomous Systems and Software Program (WASP) research partner institution in Sweden.

     

    The WASP is a major national initiative for strategically motivated basic research, education and faculty recruitment. It is by far the largest individual research program in Sweden. WASP has five partner universities: Chalmers University of Technology, Linköping University, Lund University, KTH Royal Institute of Technology, and Umeå University. In addition, research groups at Örebro University and Uppsala University that are members of WASP AI are also included in WASP.

     

    The Wallenberg-NTU Presidential Postdoctoral Fellowship will be awarded to a diverse and select group of individuals who demonstrate the intellectual capacity and rigor to drive their own research in the broad and multi-disciplinary areas of

    • Artificial intelligence,
    • Machine learning,
    • Big data and data analytics,
    • Software and security, and
    • Mobility and autonomy.

     

    BENEFITS

    The Wallenberg- NTU Presidential Postdoctoral Fellowship provides a 2-year tenure, with time split evenly between NTU Singapore and a WASP research group in Sweden. The Fellows will have the option either to start the first year with NTU Singapore or with a WASP research group in Sweden.

     

    For the one year at NTU Singapore:

    • -            A one-year research grant of up to SGD$100,000.
    • -            An annual salary of up to SGD$80,000.
    • -            Relocation assistance and generous housing grant of up to SGD18,000 for entire duration of Fellowship.
    • -            Opportunity to work with alongside leaders in science and engineering in the 5 focus areas of Wallenberg- NTU Presidential Postdoctoral Fellowship at NTU.
    • -            Generous personal development opportunities and mentorship in an established research group.
    • -            Opportunity to work with faculty in mentoring graduate and undergraduate students.
    • -            Exposure to the most dynamic and diverse global growth regions.

     

    For the one year in Sweden with a WASP research group:

    • -            An annual support package including salary, senior supervision, travel, and other occurring costs, according to the WASP standard support for postdocs in Sweden.
    • -            Opportunity to work alongside academic leaders in science and engineering at WASP research partner institutions in Sweden.
    • -            Access to the infrastructure in the WASP funded research arenas.
    • -            Opportunity to interact with the WASP graduate students and the WASP graduate school.

     

    Eligibility Criteria

    • -            Commitment to a one-year research stint respectively at NTU and at a WASP partner institution in Sweden.
    • -            Graduated with a PhD degree not more than 5 years at the application date.
    • -            Demonstrable intellectual excellence.
    • -            Maturity and capacity to begin an independent research career.
    • -            Desire and potential to develop as a future academic leader.
    • -            Applicant is required to submit thoughtful and realistic research proposal in the areas of artificial intelligence, machine learning, big data and data analytics, software and security, mobility and autonomy.

     

    How to apply

    The application for the Wallenberg-NTU Presidential Postdoctoral Fellowship 2023 is open from 28 October 2022 to 6 January 2023, 2359hr (Singapore Time, UTC+8).

     

    Applications will be submitted in electronic format via NTU Online Application Portal.

    Checklist

    The following Supporting Documents have to be attached to the on-line application form. Interested applicants are advised to have them ready before applying on-line. Late or incomplete applications will not be considered.

    1. Cover Letter
    2. Comprehensive CV (with full publication list)
    3. Official transcript or Degree Certificate in English (PhD’s degree)
    4. Research proposal (in no more than 2 pages, template for download)
    5. Contact information of two referees (one must be PhD Supervisor)
    6. Top 3 publications (in PDF) and any other supporting documents (scanned copy)

    For more information on the Wallenberg-NTU Presidential Postdoctoral Fellowship 2023, please visit TRACS Website.

    For more information on WASP, please visit http://wasp-sweden.org.

     

    Queries about the application can be directed to ntuppf@ntu.edu.sg​​​​​​​.


  • 28 Sep 2022 6:34 PM | Anonymous

    The National Science Scholarship (Masters) aims to develop and deepen your research skills, providing you the requisite foundation and head start towards a career in research.  

    If you are an undergraduate with a passion for Computer and Information Sciences, Food Technology and Microelectronics, this is an opportunity you do not want to miss— be plugged into exciting scientific and technological arenas in a prestigious overseas university to fast-track your research journey and join the workforce sooner.

    You will also gain valuable experience in key research areas and contribute to Singapore's evolving research needs.

    Apply for the NSS (Masters) today and embark on your journey towards scientific excellence!

    More details could be found at:

    National Science Scholarship (Masters) for Singaporeans (a-star.edu.sg)

  • 28 Sep 2022 6:33 PM | Anonymous

    The National Science Scholarship (PhD) is awarded to outstanding individuals  who wish to pursue a rewarding career in research. Successful applicants will be funded for up to five years of your academic pursuit, which will commence after you have completed a one year of paid research attachment at an A*STAR Research Institute.

    If you are an undergraduate with a passion for Computer and Information Sciences, Biomedical Sciences, Physical Sciences or Engineering, the National Science Scholarship (PhD) is for you!


    Apply for the NSS (PhD) today to advance your career in science!


    More details could be found at:

    National Science Scholarship (PhD) (a-star.edu.sg)

  • 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.  


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