Jobs in Robotics
The project will develop an integrated multi-vehicle routing and trajectory planning method for environments that change based on the operations of the vehicles. This is particularly relevant for mining applications, where new routes open up as parts of the mine are dug out, or some routes become blocked due to the pile of excess material produced by drilling vehicles. Other applications including inspection of complex structures and routing for crop harvesting have a similar problem structure.
We aim to investigate hybrid optimization methods in operational research to address this unconventional routing problem in a general way. This project will extend the state-of-the-art by establishing a novel formalization of a dynamic routing problem where both extension and contraction of the routes are possible. More importantly, this project will be an important step in increasing the level of automation obtainable for robots operating in harsh environments, in which human workers are exposed to hazardous conditions.
This project will have Melbourne University as their home institution. The successful candidate will spend a minimum of 12 months at both universities, providing a multidisciplinary cohort experience with other Priestley Scholars. Joint PhD candidates will benefit from the collective resources, networks and expertise of supervisors at The University of Melbourne and the University of Birmingham. Funding for each candidate will include tuition fees, a full living allowance (stipend), health insurance and travel allowance. At the successful completion of the program, each candidate will be eligible to receive a PhD, recognised by testamurs from each of the two universities.
Dr Nir Lipovetzky (https://nirlipo.github.io/)
Dr Masoumeh Mansouri (https://iranmansoori.github.io/)
Prof Peter Stuckey (https://people.eng.unimelb.edu.au/pstuckey/)
Applicants should have a first-class or good upper second in Computer Science or closely related field. Applicants also need to have a strong background in mathematics and high proficiency in programming, e.g., Python, C++ or Java. An MSc project in AI planning and search, multi-agent decision making, combinatorial optimization or constraint-based programming related area would be beneficial but not essential.
Where to apply:
There are multiple openings for Postdoc fellowships to perform research on Medical Robotics Perception & AI at The Chinese University of Hong Kong (CUHK). Particularly, the main areas of interest include AI-assisted endoscopic diagnosis, 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. For more details, please refer to the recent publications at Google Scholar or lab website http://labren.org/.
The scholars will have opportunities to work with an interdisciplinary team consisting of clinicians and researchers from robotics, AI & perception, imaging, and medicine.
* Background in AI, Computer Science/Engineering, Electronic or Mechanical Engineering, robotics, medical physics, automation, or mechatronics background
* Preferably have hands-on experience in AI/robots/sensors, instrumentation, intelligent systems
* Strong problem-solving, writing, programming, interpersonal, and analytical skills
* Outstanding academic records/publications or recognitions from worldwide top-ranking institutes
* Self-motivated and preferably with strong academic records
[HOW TO APPLY]
Qualified candidates are invited to express their interests through an email with detailed supporting documents (including CV, transcripts, objective, research interests, education background, experiences, GPA, representative publications, demo projects) to Prof. Hongliang Ren email: firstname.lastname@example.org
Are you interested in developing and understanding the future of how robotics and AI technology will be applied alongside humans? Do you enjoy developing video game engines (e.g., Unreal Engine) and working with immersive technologies such as VR, AR, and MR? Are you excited to conduct user studies and experiments with both physical and virtual robot technology that you develop and understand how people use it?
Fully funded postdoctoral positions and graduate positions (PhD students, Masters students) are available in the School of Engineering at Oakland University (Michigan, USA). Students will be co-advised across the departments of computer science, electrical & computer engineering, and industrial & systems engineering. Students will engage in the following general research areas: 1) autonomous robot development, 2) human-robot interaction, 3) human-computer interaction, 4) immersive simulations (e.g., augmented/virtual/mixed reality), and 5) machine learning, artificial intelligence, and natural language processing.
The project in a nutshell:
We will be developing tools and approaches to conduct multi-user experiments in video gaming engines (i..e, virtual experimentation) to investigate human-robot interactions within heterogeneous teams with both manned/unmanned autonomous and teleoperated robots. We will also be exploring a combination of augmented, mixed, and virtual reality hardware to improve immersive experiences during virtual experimentation.
Awesomeness of the project:
· Close collaboration in a research team consisting of 5 faculty, 3 postdocs, 5 PhD students, and 2 Masters students
· Cross-disciplinary project with computer science, electrical & computer engineering, and industrial & systems engineering, and mechanical engineering
· Collaboration with local industry in video game development, immersive technology development, unmanned ground/aerial vehicle development, and other universities in Michigan
· Access to state-of-the-art equipment and facilities for creating immersive simulations for studying human-robot interactions
Position responsibilities and expected skill set of applicants:
The postdoctoral researcher will design, implement, and evaluate an all-in-one virtual robot prototyping and experimentation platform using immersive gaming environments. We are looking for passionate individuals that are interested in understanding how humans and robots interact within a team environment using highly immersive video game technologies. Candidates should be passionate about working at the intersection between both virtual and physical autonomous robots and getting these technologies into the hands of people so they can be evaluated by real end-users. The candidate should also be excited to work in interdisciplinary research groups for advancing challenging research goals. Applicants must have a PhD in human-robot interaction, robotics, computer science, video game development, or equivalent fields. Applicants are expected to have the following traits:
· Published excellent quality papers in one or more of: robotics, human-robot interaction, video game development, machine learning, VR/AR/XR, or related research topics
· Substantial practical experience in a broad range of technical areas including one or more of: game development, VR/AR/XR, human-robot interaction, imitation learning/behavior cloning/learning from demonstration, autonomous mobile/aerial robots, and human-computer interaction
· Advanced software engineering skills, including developing and maintaining complex software systems in C++/Python, ROS, and Unreal Engine or equivalent
· Experience supervising graduate and undergraduate students in research projects.
· Experience in applying for, and obtaining, ethics-board approvals for collecting data from user trials
· Excellent verbal and written communication skills
· Willingness to work as part of a team and to be open-minded and cooperative both internally and with external project partners
· Interested in being trained or participating in grant proposal writing
The PhD student will be responsible for developing a virtual platform or post-experiment interviewing of experiment subjects and visualization of experiment results. They will also conduct user studies in virtual and face-to-face modalities to produce generalizable knowledge about rapid prototyping of virtual simulations for experiments. The student is also expected to first-author peer-reviewed publications regarding their research. Applicants should have at minimum a Masters degree in computer science, information systems, computer engineering, or equivalent fields. Applicants are expected to have the following traits:
· Strong programming skills in C++ and Python
· Hands-on experience with game engines
· Excellent written and verbal communication skills
· Capable of independently managing projects
The ideal candidate has also relevant experience with:
· Unreal engine or equivalent
· Augmented/virtual/mixed reality or OpenGL development
· Applied knowledge in qualitative data collection and analysis
· Applied knowledge in quantitative data collection and analysis
· Hands-on experience with simulating robotics or autonomous systems
The Masters student will be jointly responsible for developing a virtual platform for post-experiment interviewing of experiment subjects and visualization of experiment results. They will be working in a fast-paced collaborative lab environment to prepare virtual prototypes for iterative user studies. The student is also expected to co-author peer-reviewed publications regarding their research. Applicants are expected to have the following traits:
· Excellent written and verbal communication skills
The ideal candidate has also relevant experience with:
Postdoctoral Researcher Candidates should provide a cover letter outlining your motivation for applying to this position, a statement of your research interests, your CV, links to relevant publications and your PhD thesis (or a summary in case the thesis work is ongoing) and other relevant documents to email@example.com, firstname.lastname@example.org, and email@example.com. Candidates are also encouraged to provide contact information for up to 3 reference persons.
PhD and Masters Candidates should provide a cover letter outlining your motivation for applying to this position, a statement of your research interests, your CV, and transcripts to firstname.lastname@example.org, email@example.com, and firstname.lastname@example.org. Candidates are also encouraged to provide contact information to up to 3 reference persons.
Applications will be reviewed starting May 30 and will continue until all positions are filled.
Position Start Date: Fall 2022
We are looking for a PhD candidate in the domain of Autonomous Aerial Robotics for Digital Forestry. The PhD candidate will work on the challenging problem of resilient autonomous navigation and mapping under the forest canopy thus allowing to collect essential data that will be used for digital analytics towards sustainable forestry practices and optimized robotic harvesting. The research activity is part of a soon-to-start EU project on robotics for sustainable forestry with our partners involving top international institutions and industry across Europe.
The position is part of the Autonomous Robots Lab activities in resilient robotic autonomy across diverse operational conditions. The Autonomous Robots Lab has leading research in robotic autonomy and demonstrated performance in a collection of world-class projects funded by both European and US sources. Recently, Team CERBERUS (https://www.subt-cerberus.org/), led by Prof. Alexis won the DARPA Subterranean Challenge. As part of new research activities of our lab, we will work in the broad area of digital analytics and robotics for sustainable forestry. Indicative instances of our work can be seen in the following videos of our robotic experimentation: https://youtu.be/P3uT4gHEFHw & https://youtu.be/SNMsKAnCQkw
The University of Zagreb Faculty of Electrical Engineering and Computing (UNIZG-FER; www.fer.unizg.hr/en) is looking for two (2) highly talented postdoctoral fellows / recognised researchers (equivalent to R2 ERA researchers) in Artificial Intelligence for Robotics for the newly established AI for Robotics Research Group (AIFORS Research Group), in the framework of the H2020 EU funded project AIFORS - ERA Chair in Artificial Intelligence for Robotics(http://aifors.fer.hr). The AIFORS project has received 2.5 million EUR funding from the EU Horizon 2020 ERA Chair programme, H2020-WIDESPREAD-2018-2020 Call (please see here for more information about the Call).
The AIFORS Research Group will be part of the Laboratory for Autonomous Systems and Mobile Robotics (LAMOR; http://lamor.fer.hr) at UNIZG-FER. It is a new ambitious research group established to conduct world-class research in robot learning, reasoning, and optimization and planning for addressing highly dynamic, complex environments to achieve a further quantum leap in what intelligent robots can do.
The research focus of the AIFORS Research Group will be on Intelligent Soft Robotics, the frontier of Physical AI. Despite the dramatic progress in AI, and in particular Machine Learning and Deep Learning, the application of the new methods to physical systems still poses significant research challenges as robots continually interact with their environment, humans, and other robots. Moreover, they work in real-time on rich time series, provide data sets that are small in comparison to big data, and the physical dynamics of robot bodies play a decisive role in the shaping of intelligent robot behaviors, which is most evident in soft robots and robots with hard and soft parts. Our aim will be to advance the science and technology of intelligent soft robots enabling new disruptive applications. We will chase reproducible and objectively measurable research results.
Required candidate’s qualifications and experience:
Our offer to the ERA AIFORS Fellows:
The selected candidate will be offered the following:
Applicants are invited to submit the following documents:
Recruitment process timeline:
Any candidate fulfilling these Job Announcement requirements is eligible for application, regardless of gender, age, nationality, race or ethnicity.
University of Zagreb
Faculty of Electrical Engineering and Computing (UNIZG-FER)
Department of Control and Computer Engineering
Laboratory for Autonomous Systems and Mobile Robotics (LAMOR)
Unska 3, 10000 Zagreb, Croatia
For any further information or request, please do not hesitate to contact us at email@example.com with the email subject “AIFORS – YOUR LAST NAME”.
Please include in your cover letter the following statement:
„I agree to the processing of personal data provided in this document for realizing the recruitment process pursuant to the Personal Data Protection Act of 10 May 2018 (Journal of Laws 2018, item 1000 and in agreement with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).”
Some useful links:
Interuniversity research center on Integrated System for the Marine Environment (www.isme.unige.it) at the University of Genoa (www.unige.it)
1 year duration (with possibility of renewal)
pre-tax amount: € 23250
The Interuniversity research center on Integrated System for the Marine Environment is accepting applications for the position of postdoctoral research fellow to start on 1st July 2022.
The research fellow will contribute to an ongoing project on the control of autonomous underwater vehicles operating in very shallow water areas. The objective of this research grant is the development of an obstacle detection and avoidance. The vehicle will be endowed with a forward-looking sonar and a camera. First, it will be necessary to develop image processing and machine learning algorithms for both the acoustic and optical images, with the goal of detecting the position of the obstacles. Then, the research will focus on the development of control strategies to avoid the detected obstacles.
Applicants should have a Ph.D. in a closely related engineering discipline (e.g., robotics, computer science, computer engineering). The postdoctoral associate must have excellent oral and written communication skills and a strong interest in marine robotics, control & perception. The postdoctoral research fellow must have expertise/experience in control engineering and robotics, including:
- feedback control theory
- object oriented programming in C++
- knowledge of ROS and/or ROS2
- computer vision
- machine learning
About the institution
The interuniversity research center on Integrated System for the Marine Environment (ISME) collects nine Italian university operating in the field of marine robotics. It has been funded in 1999 and has been ever since very active at the European level. The University of Genoa is the legal headquarters of ISME. Recent projects carried out by ISME are the WiMUST project, on autonomous geotechnical surveying with a team of marine robots (https://cordis.europa.eu/project/id/645141), the DexROV project, on semi-autonomous teleoperation of ROVs from remote locations (https://www.dexrov.eu/) and the ROBUST project, on deep sea mining exploration with AUVs (http://eu-robust.eu/).
The call, explaining the application process, is reported here
Specifically, the program is the number 28.
The application can be submitted at:
The application deadline is 23.05.2022 - 12.00 pm
The Department of Mechanical Engineering at the University of Nevada, Reno (UNR) invites applications for one Ph.D. student position in the areas of robotics and control starting in 2022 Fall or 2023 Spring. If chosen, the student will receive full financial support ($2,000/month) and a tuition waiver. The students will work with Dr. Jun Zhang (https://www.unr.edu/me/faculty-and-staff/zhang) in the Smart Robotics Lab (https://packpages.unr.edu/jun/).
Successful candidates should be highly self-motivated to pursue independent and interdisciplinary research. Background in one or more of the following areas is desirable: artificial muscles, robotics, control systems, and smart materials. Hands-on experience with 3D printing, sensors, actuators, and micro-controllers is a plus. Details of UNR’s mechanical engineering department are provided at https://www.unr.edu/me. Formal admissions requirements for the UNR Ph.D. program can be found at https://www.unr.edu/me/graduate-program/phd#admissions.
For potential applicants: please send your CV, transcripts, GRE/TOEFL scores, and representative publications (if applicable) to Dr. Zhang at firstname.lastname@example.org. Please also describe how your research interests/experiences align with his works. The review of applications will begin immediately and will continue until the position is filled.
Hand Plus Robotics is seeking robotics engineer to develop software & hardware for robotics picking solution which including robot control, system design, motion planning and automation.
Roles and Responsibilities:
As a part of the Robotics System Team, you will be focusing on algorithmic design, development, and deployment of robotics technologies.
About Hand Plus Robotics:
Hand Plus Robotics is a university spin-off start-up company in Singapore. Hand Plus builds robotic picking systems for logistics, manufacturing, hospitality and healthcare industries using its APP+ software platform. Hand Plus is a young, dynamic and evolving company and offers opportunities for growth and learning in bringing technology from lab to market. Learn more about us at http://www.handplusrobotics.com
Job Types: Full-time, Permanent (Singapore)
Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.
The A. James Clark’s Department of Electrical and Computer Engineering consistently ranks in the top 20 ECE programs in the country by US News, and it offers a collegial, supportive environment in which faculty can thrive. The Department is closely involved with internationally recognized multi-disciplinary research institutes and centers, such as the Institute for Systems Research (ISR), the Institute for Advanced Computer Studies (UMIACS), the Maryland Robotics Center (MRC), the Maryland Cyber-security Center (MC2), the Joint Quantum Institute (JQI), the Joint Center for Quantum Information and Computer Science (QUICS), and the Institute for Research in Electronics and Applied Physics (IREAP). The Department has launched the Academy of Machine Learning and an Internet-of-Things (IoT) program for undergraduate students as well as a new Master program in Machine Learning, and is rapidly expanding collaborations with industry and government laboratories in these areas. The innovation and entrepreneurship programs on campus recently brought the University to the top 10 in Entrepreneurship Magazine.
Some notable facts include:
● Received the 8th largest gift in history to a public higher education institution from A. James & Alice B Clark Foundation of $220M. This includes funding to assist faculty and attract and fund first-year Ph.D. students.
● The Clark School has a dedicated external relations staff to help promote faculty research, which has been featured on covers of Science magazine, ABC, Washington Post, New York Times, and CNN.
● Opened Clark Hall in January 2018 with almost 40,000 sq ft of lab space and an innovation lab for capstone design projects and student teams.
● The Great College Park initiative is a $1B public-private investment in the town that is the home of UMD. It is creating not only a dynamic and innovative academic environment, but also a vibrant downtown community with restaurants, new residential units, live music, and amenities.
Offers of employment are contingent on completion of a background check. A prior criminal conviction or convictions will not automatically disqualify a finalist from employment in the position.
The University of Maryland has made the safety of our students, faculty and staff, and our surrounding communities a top priority. As part of that commitment, the University System of Maryland (USM) recently announced that students, faculty, and staff on USM campuses this fall, including UMD, are required to be vaccinated against COVID. As a prospective and/or a new employee at UMD, you will be required to comply with the University’s vaccination protocol. Proof of full vaccination will be required before the start of employment in order to work at any University of Maryland location. Prospective or new employees may seek a medical or religious exemption to the vaccination requirement at return.umd.edu and must have an approved exemption prior to the start of their employment. Failure to provide proof of vaccination or to obtain approval for a medical or religious exemption will result in the offer of employment being rescinded.
Position Summary/Purpose of Position:
Applications and nominations are invited for the position of Professor and Chair of the Department of Electrical and Computer Engineering in the A. James Clark School of Engineering at the University of Maryland. Responsibilities include leadership of a highly research-active department, program
development with industrial partners, and stewardship of strong academic programs. The Electrical and Computer Engineering has 54 tenure-track faculty members, 26 professional track faculty and 30 staff. The research and educational activities include strong programs in the areas of quantum and optics, signal processing and machine learning, microelectronics, computer engineering, cybersecurity, control and communication systems, nonlinear dynamical systems, and electrophysics. With more than 900 undergraduate students, 270 graduate students, and annual research expenditures of more than $27 million, the department is a central education and research unit in the Clark School and at the University of Maryland. The department offers undergraduate degree programs in electrical engineering, computer engineering, and embedded systems/internet of things, and graduate degrees in electrical and computer engineering (MS, PhD) and telecommunications (MS).
The A. James Clark School of Engineering at the University of Maryland serves as the catalyst for high-quality research, innovation, and learning, preparing our students to create innovations that will address the 21st century Grand Challenges in energy, environment, security, and human health and improve the human condition. The Clark School is dedicated to leading and transforming the
engineering discipline and profession, to accelerating entrepreneurship, and to transforming research and learning activities into new innovations that benefit millions. The Clark School is ranked 10 th among public engineering schools and 20 th overall in the 2022 US News graduate rankings, has over 200 faculty, 15 NAE members, research expenditures of $148M, 8 departments, approximately 4200 undergraduate and 2100 graduate students. With the recent completion of two new buildings, A.James Clark Hall and the E.A. Fernandez IDEA Factory and a third 150,000 GSF building under design, the college is a growing and dynamic environment for education and research.
Please upload the following materials as separate documents:
1) Cover Letter
2) Curriculum Vitae
3) Research (examples: research statement, research programs)
4) Teaching (examples: teaching philosophy, student evaluations)
5) List of 5 References (include contact information)
6) Vision Statement for the Department
Applicants should submit their information by 3/31/2022, for best consideration. The position will
remain open until filled. The search committee will respect the confidentiality of each candidate.
Additional information on the Department can be found at: http://www.ece.umd.edu
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity.
Candidates must have an earned doctorate electrical or computer engineering or a closely related field; strong leadership ability with proven interpersonal skills; a proven research record with evidence of international recognition, and a commitment to engineering education. Applicants must be qualified for appointment as a tenured full professor in the Department of Electrical and Computer Engineering.
Posting Date: 01/24/202
Open Until Filled Yes
Best Consideration Date 03/31/2022
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.
清华大学深圳国际研究生院（英文名Tsinghua Shenzhen International Graduate School，简称Tsinghua SIGS）是在国家深化高等教育改革和推进粤港澳大湾区建设的时代背景下，由清华大学与深圳市合作共建的公立研究生教育机构。
Tsinghua Shenzhen International Graduate School (Tsinghua SIGS) was launched in March 2019. As Tsinghua University’s sole campus located outside of Beijing. Tsinghua SIGS is a further expansion and integration of the Tsinghua Graduate School at Shenzhen (GSST) and the Tsinghua-Berkeley Shenzhen Institute (TBSI).
Our mission is to reshape graduate education as well as research and development to better serve local, national, regional, and global sustainable development. Tsinghua SIGS will nurture the next generations of global leaders, tackle global challenges through international collaborations, and facilitate interdisciplinary research and industrial partnerships.
Scholars with extensive international academic influence recognized by international peers. Professors with special achievements in top Universities. Work full-time at Tsinghua SIGS.
Tenured professors or associate professors from universities at home and abroad, or high-level talents of considerable level from research institutions at home and abroad; have achieved internationally recognized academic achievements in his/her field of study; have profound scientific literacy and broad academic vision, and excellent organizational leadership ability. Work full-time at Tsinghua SIGS.
Hold formal teaching or research positions in universities, research institutions, or enterprises at home and abroad; have achieved outstanding academic achievements in his/her field, with outstanding innovation ability, and a potential to become an academic or technological leader in his/her respective field. Work full-time at Tsinghua SIGS.
1. Position Rank
Professor/ Associate Professor/ Assistant Professor
2. Annual salary
Tsinghua SIGS will provide a highly competitive salary, commensurate with experience and accomplishments.
Tsinghua SIGS will provide a research start-up package, basic supportive funding, and a relocation reimbursement for qualified faculty.
4. Student and Postdoctoral Recruitment
Tsinghua SIGS will finance up to 2 Ph.D. students and provide a competitive salary package for post-doctoral researchers for faculty members.
- A doctoral or equivalent degree in a relevant academic area is required.
-At least two-years working experience at a university or research institute is normally required.
-Research experience across various fields and institutions and strong teaching performance are preferred.
-Candidates should be able to demonstrate strong communication, teaching and leadership skills in English as well as the ability to actively contribute to the rapidly growing research efforts at Tsinghua SIGS.
-A strong commitment to teaching and supervising postgraduate students is essential. Teaching responsibilities will include participation in and development of graduate courses and strong engagement with Tsinghua SIGS’s core curriculum. Supervision of PhD and MSc students and academic mentoring of trainees at all levels is also expected.
Data Science and Information Technology
Artificial Intelligence, Data Science, Robotics, IoT and Internet, Transportation and Logistics, Photonics and Circuit Systems and Advanced Manufacturing, including (but not limited to): Computer Architecture, Programming Language, Compiler, Operating Systems, Parallel and Distributed Systems, Intelligent Decision-Making and Management, Intelligent Optimization and Control, Intelligent Navigation and Control, Intelligent Detection and Diagnosis, Digital Twin and Human-Computer Interaction, Optical Wireless Communication, Integrated Sensing and Communication, Underwater Wireless Communication, Compound Semiconductors, Hybrid Integration and Advanced Package, Microwave Photonic Devices, Operations Research and Management, Optimization and Simulation, and Supply Chain Management
陆老师 Ms. LU
2) Tsinghua SIGS Faculty Application Form（https://talent.sigs.tsinghua.edu.cn/#/fileList）
Please apply via https://talent.sigs.tsinghua.edu.cn/, or send the following application documents (in English) to relevant academic area contact person via e-mail with the subject line “Application for Faculty Position in XX area at Tsinghua SIGS.”
a) Curriculum Vitae
b) Tsinghua SIGS Faculty Application Form ( https://talent.sigs.tsinghua.edu.cn/#/fileList )
c) Research/Teaching/Service Statement
d) PDF copies of 3 to 5 representative publications
e) Arrange 3-5 reference letters sent from renowned experts in related fields (the letters must be emailed to email@example.com directly and they can be sent after the invitation letter is received)
Tsinghua SIGS accepts applications for tenure-track/tenured Professors, Associate Professors and Assistant Professors on a regular basis. Tsinghua SIGS provides competitive salary, start-up packages, basic supportive funding and relocation allowance. We will keep your application in our resume database for the next round, which will be arranged around early 2022 (According to the arrangement of each area. All documents will be treated confidentially. Tsinghua SIGS thanks all applicants for their interest. Only candidates shortlisted for interviews will be notified of the application results.).
Details: please click in SIGS website and recruitment website:
Search and Navigate:
Call or Email Us:
Address:Room N3-02C-96, School of Mechanical
& Aerospace Engineering, Nanyang Technological University, Singapore 639798