Jobs in Robotics
RESPONSIBILITIES
· Develop, test and deploy robotic systems and applications to solve real-world problems for the built environment (construction) sector
· Liaise and work with stakeholders to conceptualize robotic solutions that can be applied to the built environment (construction) sector
· Liaise and work with stakeholders to develop and deploy robotic solutions to the built environment (construction) sector
· Organize outreach activities to promote use of robotics solutions for the built environment (construction) sector
PREREQUISITES
· A bachelor's degree or above in either Robotics, Mechanical, Computer, Electronics, or Mechatronics Engineering
· At least Three (3) years of experience in robotic projects, preferably in the built environment (construction) sector
· Experienced and skilled in using mechanical CAD software
· Experience in development of robotic systems using Robotics Operating System (ROS1 & ROS2)
· Experience in the following programming languages: C/C++, Java and Python
· Skilled in artificial intelligence and data analytics technologies
· Good written and oral communication skills.
Contact:
Dr. Teck Chew WEE (TP)
WEE_Teck_Chew@TP.EDU.SG
You are responsible to support the development of MPA’s maritime multi-domain capabilities and innovation strategies. You will need to understand and provide solutions to integrate the systems across domains such as space, air drones, surface, subsea and cyber. Core objective is to integrate across various domains and utilise technological solutions and innovations to achieve comprehensive shared maritime awareness via an interconnected data-driven eco-system; enabling MPA to direct and coordinate with agencies and industry partners for resource optimization, carbon emission reduction, productivity and safety.
More details could be found at:
Find A Job | Careers@Gov (hrp.gov.sg)
You are responsible for formulating and driving MPA’s maritime drone policies and services for both MPA and the maritime industry, aligning these plans as part of the Multi-Domain Capability Development Hub. You will need to understand the impact of this domain over the wider eco-system and to support policy makers in the quest for a sustainable development of oceans and coastal resources. You will also be responsible for all policy, operations planning and development including working closely with stakeholders to establish standards, safeguards and systems related to Unmanned Aircraft Systems (UAS) in MPA such as the Unmanned Traffic Management System (UTMS). You will be part of the team to drive the design review, development of UAS and operational capabilities to ensure the readiness and serviceability of UAS operated by the operations staff.
Your key responsibilities are:
MPA is seeking a candidate for the newly formed Maritime Space Policy & Plans Office (MSPPO) within the Operations Transformation & Plans Division (OTPD) under the Ops-Tech Cluster. The OTPD supports MPA’s mission by ensuring that policies, plans, and procedures are operationally ready to address incident and crisis scenarios as well as ensure port security and maritime safety. OTPD is also entrusted with developing future operating concepts in the multi-domain (space, air, sea, sub-sea and cyber) area of operations and translating them into operational requirements for the purpose of capability development in MPA.
Crisis scenarios include severe events caused by geopolitical risks, pandemics, natural disasters, and climate change effects, as well as major incidents such as piracies, vessel collisions and sinkings, oil/fuel/chemical spills etc. which could cause disruptions to the global supply chain and negatively impact port security and maritime safety.
To ensure that Maritime Singapore is well-prepared for crisis scenarios, there is a critical need to strengthen and future-proof our operational responses and safeguard Singapore’s national and maritime interests. The complexity of such crises necessitates capability development and collaboration across multiple domains in the assigned area of operations. Future operating concepts must leverage capabilities and sensors across multiple domains to enhance information exchange and data connectivity for situational awareness, detection of anomalies for timely intervention and effectiveness and timeliness of responses in a crisis.
The call for Postdoc-NeT-AI 11/2023 is out! The focus of this edition – which will take place from 13 – 17 November 2023 – is on Human-centered AI.
Twice a year, the German Academic Exchange Service (DAAD) selects a group of outstanding postdoctoral researchers and experienced PhD candidates worldwide to participate in the Postdoctoral Networking Tour in Artificial Intelligence (Postdoc-NeT-AI, daad.de/ainet). The fellowship includes a Virtual Networking Week and a one-week travel stipend with plenty of opportunities to personally connect with leading researchers and research institutions from all over Germany. Fellows will also become part of the DAAD AInet Fellows and Alumni Network, thus expanding and strengthening the cooperation within the group and with the German research community.
The application deadline is on October 1, 2023. For more information and to apply go to daad.de/ainet/apply.
We have a position for a postdoctoral research associate to work on NAS and AutoML with Dr Elliot J. Crowley [elliotjcrowley.github.io] and the Bayesian and Neural Systems Group [www.bayeswatch.com].
The successful applicant will be based in the School of Engineering at the University of Edinburgh, and will have opportunities for collaboration within and outside of the school e.g. with colleagues in the Institute for Digital Communications [https://www.eng.ed.ac.uk/research/institutes/idcom/]
and the Bayesian and Neural Systems Group [www.bayeswatch.com].
This position is funded for 24 months (provisional start date:
November 2023) and the salary is UE07 £36,333 - £43,155 Per Annum.
Essential requirements:
* A PhD in machine learning (ML) or a closely related subject
* A track record of publications at top-tier venues in ML-driven fields
e.g. NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, IEEE PAMI, JMLR
* Strong programming skills and experience with ML frameworks in Python
e.g. Pytorch, Tensorflow
* Excellent communication skills, both oral and written
* A demonstrable ability to work both individually and on collaborative
research projects
Previous research in Neural architecture search or other areas of AutoML is desirable, but not essential.
The full advert, and the link to apply are here:
https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/7886
The deadline is 31st July. Please email
elliot.j.crowley@ed.ac.uk
for informal inquiries.
The National University of Singapore (NUS) is looking for a highly accomplished and visionary leader to serve as the Dean of the College of Design and Engineering (CDE) and continue the College's dynamic trajectory towards global leadership in research, innovation, and enterprise across multiple disciplines.
CDE is a fusion of two world-class schools with distinguished histories, the Faculty of Engineering and the School of Design and Environment. The College is home to an outstanding multidisciplinary research ecosystem, where esteemed faculty members from diverse fields in Engineering, Architecture, and Design come together to spearhead cutting-edge initiatives. The successful candidate will have the opportunity to influence the course of one of the world's leading academic institutions, nurture students into agile, future-ready talents, and make a significant impact on the field of engineering and design.
For more information about the College, please refer to https://cde.nus.edu.sg/.
Profile of Candidate
We seek a leader with a distinguished record of scholarly achievements and a strong reputation within the academic community. S/he will advance the College's distinctive identity by combining traditional excellence and global perspective with an understanding of contemporary challenges in an interconnected world.
The Dean of CDE will possess the necessary experience and leadership skills to innovate and lead in a premier academic environment, and appreciate the diversity of disciplines within the College. S/he will have the ability to build and develop strong teams to take on large-scale, multi-disciplinary projects. An ability to raise funds will be a strong advantage. The successful candidate will recruit, retain, and develop top-quality faculty to ensure the continued success of the College. Strong interpersonal and communication skills are also critical to building collaborative relationships within the College, NUS, and beyond. The candidate should embody the values of diversity, equity, and inclusion in the NUS community.
Join us to be part of an inspiring community that makes a difference in the world.
Submissions
We welcome applications and nominations of suitable candidates. Application materials should include a full Curriculum Vitae and a broad vision statement for CDE. Applications, enquiries or nominations should be sent by 31 July 2023 to:
Professor Tulika MITRA Vice Provost (Academic Affairs) Chair, CDE Dean Search Committee National University of Singapore
C/o Ms. Jennifer TAY CDE Dean Search Committee Secretariat Email: pvotlcj@nus.edu.sg
All nominations and applications will be kept in the strictest confidence. We appreciate your kind understanding that only shortlisted candidates will be notified.
Position: Assistant/ Associate/ Full Research Professor, Center for AI Department: The Center for Artificial Intelligence Institution: Prince Mohammad bin Fahd University Reports to: Director, The Center for Artificial Intelligence
Introduction Prince Mohammad bin Fahd University strives to develop human intelligence, disseminate knowledge and find solutions based on research and scientific studies of problems experienced by societies. Based on its vision and mission in serving the local and international communities, and with the expertise, potential, and facilities supporting scientific research and studies, and outreach activities, the University is inviting applications for multiple positions of Research Professorship with the Center for Artificial Intelligence.
These positions are newly created to fulfill the missions and objectives of the Center for Artificial Intelligence by achieving excellence in research and innovation in machine intelligence. The Center has a state-of-the-art IT infrastructure and strong institutional support to maximize the outcome of research in artificial intelligence (AI). Research areas of the Center include deep learning in neural networks, fuzzy logic, optimization, image processing, computer vision, signal processing, time series, pattern recognition, and virtual reality, with diverse applications to medicine, health, life science, energy, smart living, natural science, robotics, law, business, and humanities.
General Description The Research Professor with the Center for Artificial Intelligence is a highly ranked scholar who will:
Qualifications & Experience & Skills Successful candidates must have:
Duties and Responsibilities:
Remuneration and Benefits: PMU offers an income tax-free compensation package, commensurate with rank and experience, including a 12-month salary, PMU accommodation, annual vacation, and annual round-trip airfare to the home country, medical insurance, and end of contract benefits.
How to Apply:
Application to this position requires a letter of interest, curriculum vita (include a recent photo; state citizenship; and links to Google Scholar & Scopus and LinkedIn profile), unofficial copy of Ph.D. Diploma, statement of research and teaching interests, and a portfolio (no more than 20 pages long) that includes representative professional work depicting evidence of research, teaching activities; a narrative of administrative and leadership philosophy including a statement of past and proposed efforts to enhance diversity as well as the names, addresses, phone numbers and email addresses of at least three professional references who may be contacted, with permission of the candidate, following initial evaluations by the search committee
Note: In order to apply for the position of Associate / Full Professor, candidates must provide a letter of promotion from an academic institution with a documented due process to the rank of Associate / Full Professor.
Positions are advertised on our job website can be closed at the discretion of the department at any time. This position is open until filled. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should a review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.
Review of applications will begin immediately and continue until positions are filled.
Please mention the name of the source/website where you have seen this advertisement. Only short-listed candidates will be contacted.
For submission of applications, log on to our career site: https://pmu.taleo.net/careersection/ex/jobsearch.ftl
Alternatively, send your application by email to vacancies@pmu.edu.sa in the event of an unsuccessful online application. (Please specify Position Applied for Ex: "Researcher in AI" in the email subject line and please also mention the name of the source/website where you have seen this advertisement)
Disclaimer: PMU reserves the right to alter, amend and add responsibilities to this position in line with the institutional needs. Changes and amendments to this job description shall be within the academic framework and the general employment conditions.
学术桥博聚英才现场洽谈会 | 新加坡专场
活动日期:6月18日-19日
举办地点:新加坡国立大学/南洋理工大学
举办形式:招聘单位宣讲+双方面对面洽谈
招聘单位:澳门城市大学、东北林业大学、东华大学、合肥工业大学、汕头大学、西安电子科技大学、武汉轻工大学、郑州大学、中北大学、河南科技大学、南昌大学软件学院、延安大学、安徽师范大学、安徽医科大学、哈尔滨工业大学软件学院、浙江工业大学、河南科技大学、国防科技大学电子对抗学院(合肥)、哈尔滨工程大学、湖北文理学院、江西科技师范大学、上海工程技术大学,上海应用技术大学、上海海事大学、江苏科技大学、美的集团楼宇科技事业部、中国科学院基础医学与肿瘤研究所等
报名链接:
学术桥线下专场招聘会 (acabridge.cn)
We are pleased to inform that the Call for Applications – The Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship 2023 is currently open.
More details could be found at: Schmidt AI in Science Postdocs - Schmidt Futures
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Email: contact@rss.org.sg
Address:Room N3-02C-96, School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore 639798