Jobs in Robotics
Job description PhD 1
The PhD student will engage in the development and assessment of novel additive manufacturing technology and assessment of 3D printed constructs based on robotic additive manufacturing. The student will also engage in mathematics, coding, and modeling.
Job description PhD 2
The PhD student will work on developing and characterize new biomaterials able to change shape under external actuation. The biomaterials will be used in collaboration with PhD 1 for the biofabrication of new 3D printed scaffolds.
Job description Post-doc 1
The post-doc will work on modeling, mathematics, algorithm and coding creation, and software development in relation to the new robotic additive manufacturing technology and 3D printed scaffolds described above.
The candidates will have a proven outstanding record to be part of an exceptionally skilled team that is being assembled thanks to recent National funding secured by the department. The work will suit ambitious candidates who like a fast-paced, but friendly and collaborative international environment with new challenges and opportunities for growth
Research at CTR is driven by technology development for the fabrication of biological constructs. The technological bases at the department for the fabrication of such constructs are:
Candidates for the PhD position in the field of robotics & mechatronics (PhD 1) should have a M.Sc. degree in mechanical engineering, control engineering, automation engineering, or applied physics, with already proven experience in developing robotic systems, and in particular additive manufacturing technologies. Excellent and proven knowledge of scientific English both in speaking, reading, and writing is required.
Candidates for the PhD position in the field of biomaterial chemistry (PhD 2) should have a M.Sc. degree in chemistry, chemical engineering, materials science, or biomedical engineering, with already some experience in material synthesis, blending, and characterization thereof.
Candidates for the Post-doc position in the field of mathematics, modeling, and software development (Post-doc 1) should have a M.Sc. degree in mathematics, physics, or engineering, and a Ph.D. intimately close to the post-doc description. Proven experience in modeling, generation of coding, applied mathematics, and software development is also required.
Fixed-term contract: PhD's 4 years (1+3); Postdoc 1 year, with the possibility of extension for 2 years.
We offer a top-level research and academic environment with excellent opportunities for personal development. The work is highly interdisciplinary and the atmosphere in the group as well at the institute is collegial and collaborative.
The full-time PhD positions are offered for four years (1+3), with a yearly evaluation. The salary will be set in PhD salary scale of the Collective Labour Agreement of the Dutch Universities (€ 2,395.00 gross per month in first year to € 3,061.00 in the last year).
The full-time post-doc position is offered for 1 year initially, and can be extended for an additional 2 years, after a yearly evaluation. The candidates are expected to disseminate the results through publications in peer-reviewed journals and presentations at international conferences. The starting salary will be € 3,353.00 gross per month if candidate just finished PhD, otherwise subjected to the candidate’s experience.
On top of this, there is an 8% holiday and an 8.3% year-end allowance.
The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO), supplemented with local MU provisions. For more information, look at the website www.maastrichtuniversity.nl > About UM > Working at UM.
Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 20,000 students and 4,700 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience. For more information, visit www.maastrichtuniversity.nl.
For more detailed information you can contact Prof. Dr. Lorenzo Moroni: email@example.com.
My Lab at the University of Leeds is looking for three Post-Doctoral fellows to join our research on the following topics:
- Research Fellow in Surgical Robotics, with focus on soft continuum magnetic robots to treat pancreatic cancer
- Research Fellow in Control of Surgical Robots, with focus on robotic surgery (dVRK) for personalised cancer removal
- Research Fellow in Magnetic Surgical Robots, with focus on robotic endoscopy for early detection of colorectal cancer
Come and join our fight against cancer!
Application Deadline: Saturday 31 July 2021.
Please apply if you are interested.
All the best,
Pietro Valdastri, PhD
Professor and Chair in Robotics and Autonomous Systems Director of the STORM Lab UK Director of the Institute of Robotics, Autonomous Systems and Sensing Director of Robotics at Leeds School of Electronic and Electrical Engineering University of Leeds Leeds, LS2 9JT, UK Phone +44 (0)113 343 3706 Fax +44 (0)113 3432032
PRISCA lab (prisca.unina.it - University of Naples Federico II) is looking for multiple postdoctoral researchers and research assistants in Human-Robot Interaction.
Applications are invited from candidates with a master’s degree or PhD in Cognitive Science, Artificial Intelligence, Cognitive Sciences, Psychology, or other relevant disciplines. Candidates are expected to have research expertise in Human-Robot Interaction and Social Robotics. Preferable knowledge and hands-on experience with ROS, C/C++, Python.
According to the preferred and most suitable position for the candidate, the research activities will be framed within the following projects:
CHIST-ERA on Explainable Machine Learning-based Artificial Intelligence - COHERENT "COllaborative HiErarchical Robotic ExplaNaTions” project, and Italian PON I&C 2014-2020 MISE BRILLO "Bartending Robot for Interactive Long-Lasting Operations” project or ClassMate Robot project for the development of robotics application in educational settings.
The selection will be based on CV and a skype interview.
For further information and to apply please contact:
Prof. Silvia Rossi (firstname.lastname@example.org)
The Department of Aerospace and Mechanical Engineering (AME) at the University of Arizona (UA) is seeking nominations and applications for a department head with excellent leadership skills and enthusiasm for world class research, innovative teaching, and industry/government collaborations.
The future AME Department Head must be an innovative and visionary academic leader who can spearhead the continuing transformation of AME for the challenges of the 21st century. The Department Head is responsible for leading a dynamic department which includes a diverse group of faculty, staff, students, as well as modern teaching and research laboratories and other facilities.
Candidates are expected to have extensive research and teaching experience at a level sufficient to qualify for appointment as a tenured Full Professor.
The AME Department at the University of Arizona has a strong local, national, and international reputation for undergraduate and graduate education and research. The department has 23 tenured or tenure track faculty (including one National Academy of Engineering member), 7 Career Track teaching and research professionals, and 5 adjunct faculty that support teaching, research and service missions. The department has 463 undergraduate (sophomore-senior), 45 M.S, and 63 Ph.D. students enrolled as of fall 2020. According to US News and World Report, the University of Arizona ranks No. 53 as Best Undergraduate Engineering Schools, No. 30 as Best Graduate Online Engineering Schools, and No. 62 as Best Graduate Engineering Schools with Aerospace Engineering ranked at No. 33 and Mechanical Engineering ranked at No. 62 among US Public Institutions. The annual research expenditures for the Department are nearly $5 million.
The AME department houses strong programs that cover a broad spectrum of traditional, emerging and interdisciplinary areas of interest. The department has had a longstanding and internationally recognized strength in fluid dynamics with a recent focus in hypersonic flow and related areas. In addition, departmental research strength exists in the traditional areas of thermal sciences,dynamics and control, design and optimization, computational mechanics and solid and structural mechanics. The department also has a strong presence in university centered interdisciplinary research efforts in orbital mechanics, space situational awareness, space exploration, robotics and optical sciences. The AME department is housed in a modern building with total assignable square footage of 91,059 of which 50,350 square feet is laboratory space.
Applicants are invited to consult the department’s website to review our academic and research programs as well as research labs and centers. (https://ame.engineering.arizona.edu)
Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; UA/ASU/NAU tuition reduction for the employee and qualified family members; state and optional retirement plans; access to UA recreation and cultural activities; and more!
The University of Arizona has been listed by Forbes as one of America’s Best Employers in the United States and WorldatWork and the Arizona Department of Health Services have recognized us for our innovative work-life programs.
At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. We translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we encourage diverse candidates to apply, including people of color, women, veterans, and individuals with disabilities. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.
Duties and Responsibilities
● Lead the AME department by collaboratively developing and reviewing annually a 3-yr department plan that supports the UA’s goals for the university and aligns with other related programs at the university.
● Implement a plan to keep stakeholders informed on progress and changes.
● Make equity-informed decisions on faculty recruitment, diversity, development, performance, retention and promotion.
● Lead the department in achieving student and faculty recruitment goals.
● Keep the department focused on educating aerospace engineering and mechanical engineering graduates that are equipped to be productive in a modern industrial setting.
● Identify and promote research opportunities and actively facilitate and participate in interdisciplinary research.
● Maintain existing and create new relationships with alumni and the aerospace and mechanical engineering industry.
● Maintain an inclusive, positive workplace environment.
● Act entrepreneurially to manage and enhance the department’s financial condition through increasing enrollments and initiating new programs that capitalize on other revenue streams.
● Implement new initiatives and oversee current commitments with respect to bachelor’s degrees, international micro campus programs, on line graduate programs, and accelerated master’s degree options.
● Build on existing ties and build new relationships with industry with respect to funded research such as laboratory testing and participation on research teams.
● Oversee the department’s operations including budgets, resources, fiscal management, and ABET accreditation.
● Foster a sense of community for students, alumni, staff and faculty.
● Assist the College of Engineering in fund raising activities.
Knowledge, Skills, & Abilities
● Excellent communication, interpersonal and negotiation skills.
● Demonstrated administrative experience and skills.
The successful candidate will have a distinguished record of achievement in scholarship, research, and/or professional practice commensurate with an appointment at the rank of Full Professor with tenure. The candidate should also demonstrate effective managerial leadership, clear communication, and a commitment to shared governance, community engagement, and diversity,equity, and inclusion. The successful candidate must demonstrate high ethical standards and is expected to operate in a transparent and collegial way. The candidate must be responsive in a timely manner to the needs of faculty, staff, and students in the department.
● Earned doctorate (Ph.D.) in Aerospace Engineering, Mechanical Engineering, or related field.
● A record of technical papers published in nationally recognized, peer-reviewed journals; scholarly achievement.
● Strong oral and communication skills.
● Proven leadership skills with multi-disciplinary teams.
● Track record of collaboratively building a vision and the skills to follow through to make the vision a reality.
● Capable of inspiring and recruiting great students as well as exceptional faculty and staff.
● History of successful funding from industry and government.
● Commitment to an inclusive departmental culture.
● Previous administrative experience as head or associate head, center director, or equivalent leadership position.
● Membership on boards of academic journals and/or professional associations.
● Experience with online programs.
● Experience working with industry, either through direct employment or through cooperative research and development activities; skills necessary to perform as an effective communicator to internal and external constituents.
● Commitment to a participatory decision-making process.
● Demonstrated record of engagement with diversity issues, diverse students, women in engineering, and other diversity related faculty, staff, and student communities.
● Experience in fundraising.
It is the policy of the University of Arizona to provide equal employment opportunity without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information.
The University of Arizona is also a federal government contractor and, as such, has certain obligations to take affirmative action to ensure that its policies and practices are, in fact, non-discriminatory.
Therefore, it is our policy to take affirmative action to employ and advance in employment covered veterans, individuals with disabilities, women, and minorities. Where required by law, The University of Arizona has established goals by which we may measure our progress in employing persons based on individual ability and merit and in the numbers reasonably expected based on their availability.
The University of Arizona makes good faith efforts to reach covered veterans, individuals with disabilities, women, and minorities with information about our equal opportunity policy and, specifically, about employment opportunities at the University. This recruitment effort is particularly important for jobs where women or minorities are not currently participating in the numbers expected by their availability. It is the policy of the University of Arizona to invite all interested persons, both from outside the University and from within the University community, to apply for such opportunities.
As a matter of law and as a matter of University policy, selection for opportunities for hire, promotion, transfer, or training, as well as decisions regarding demotion, termination, layoff, or other terms and conditions of employment shall occur without regard to race, color, religion, sex, national original, or other prohibited basis.
The University has formally assigned the responsibilities contained in its written Affirmative Action Plans for Women and Minorities and for Individuals with Disabilities, and for Protected Veterans to each vice president, dean, director, department head, manager and supervisor and the University does insist that these employees adhere to the commitment made in each Affirmative Action Plan.
The medium of instruction in KFUPM is English.
This job advertisement is for Saudi nationals only.
Only male applicants are accepted.
Job Reference Number SA125
Job Title Assistant / Associate / Full Professor in Mechanical Engineering (Saudi nationals only)
Location Dhahran – Saudi Arabia
Type Full Time
The Department of Mechanical Engineering is seeking potential Saudi candidates holding PhD degree, for research and teaching purposes in one of the following specializations:
Fluid Dynamics and heat
Materials and Manufacturing Processes Engineering
The candidate will be expected to be available for professional duties for approximately ( 35-40 ) hours per week and to carry out teaching, research, academic advising, administrative duties and any other academic duties that will be assigned to the faculty by the academic department concerned. Also he must adhere to any other job responsibilities imposed by the Ministry of Civil Service regulations.
Applicant must have:
An earned Ph.D. degree from a reputable university in the relevant field.
A full time bachelor’s and master’s degrees with very good grades.
Certificate equivalency if the certificate obtained from outside the Kingdom.
Special Instructions to Applicants
The medium of instruction in KFUPM is English.
This job advertisement is for Saudi nationals only.
Only male applicants are accepted.
Director of Talent Acquisition
King Fahd University of Petroleum & Minerals
KFUPM Box 5005, Dhahran 31261
Telephone: +966 13 860-7335/2411
Fax: +966 13 860-2442
Open Date 06/01/2021
Open Until Filled No
Required fields are indicated with an asterisk (*).
(Open Ended Question)
Job no: 494786
Work type: Contract, full-time
Categories: Bachelor Degree, Others, Engineering - Electrical & Electronics/Communications, IT - Network/Systems/Database, IT - Software
AI-based assessment in design education
We are looking for a Research Associate to join our multi-disciplinary team of researchers and work on a project to conceptualize, develop and evaluate assessment platforms using Artificial Intelligence and deep learning to support instructors and students in assessing design learning. A specific aim of the research program is to develop assessment measures and platform for design competencies as specified in the Skills framework for Design, developed by Skillsfuture Singapore.
We are looking for candidates who can:
The candidate will be working closely with the PI, the postdoctoral research fellow in the project, collaborators in SUTD & polytechnics and researchers in related projects. The candidate is expected to participate in IDC meetings, workshops and other events, and contribute to their organisation.
The candidate is expected to be motivated, independent and resourceful and an excellent team player with good interpersonal and communication skills, as well as good writing and presentation development skills.
Applications close: 14 Sep 2021 Singapore Standard Time
Infineon is offering a PhD thesis topic on "Methodology of developing digital twin thermal model via machine learning, to accurately predict thermal performance of DM platform, based on different hardware designs & packages" under the Industrial Postgraduate Programme (IPP) from the Economic Development Board (EDB). Background/ Objective: Obtaining quick & accurate thermal performance data is always a huge challenge, the traditional approach is to build a prototype, and carry out the real validation, which requires long lead-time and costly, with multiple iterations of validations, that might potentially impact the whole development. With the CFD simulation software, helps to reduce the development lead-time significantly, and by incorporating machine learning techniques, that provides a more accurate prediction of thermal performance data. More importantly, the digital thermal model is scalable to be used for different packages & hardware designs. Scope of Work: Students will build the digital thermal model with thermal CFD simulation software (Fluent or others), and use deep learning approach to train the model. Study & understand the governing equations behind the background of software solver. Build the detailed geometry/structure of a chip, and system-level thermal model in CFD environment. Establish & define the thermal properties in the CFD model & boundary condition. Run CFD model with multiple iterations and use the empirical data to train the model, and improve it, as part of the correlation. Analyze the result, identify the hot spots, plot the 3D dynamics/flow of thermal profile. Involve in the actual experimental setup, data collection or measurements. Study the resistance network of the entire system, and establish the full digital thermal resistance network model. Establish the scalable thermal model with a quick turn-around time, strong correlation of output with respect to inputs. The candidate will receive: A monthly stipend of S$4,000 Full sponsorship of school fees Your profile To be eligible for the IPP Scholarship, candidates must: Be a Singaporean Citizen or Permanent Resident at the time of application Be eligible for full-time PhD studies Have an interest in thermal management for IC packaging Knowledge in power semiconductor application Be able to work independently by using thermal analysis software Knowledgeable & hand-on experience in 3D-CAD and CFD simulation software Part of your life. Part of tomorrow. We make life easier, safer and greener – with technology that achieves more, consumes less and is accessible to everyone. Microelectronics from Infineon is the key to a better future. Efficient use of energy, environmentally-friendly mobility and security in a connected world – we solve some of the most critical challenges that our society faces while taking a conscientious approach to the use of natural resources.
Apply at: Industrial Postgraduate Programme (IPP) PhD Thesis - Methodology of Developing Digital Twin Thermal Model - Application | Infineon Recruiting Software (umantis.com)
The offered position is part of the new European research and innovation project DARKO, to be coordinated by Örebro University.
The topic for this position is aligned with contemporary research topics in mapping and localisation for autonomous mobile robots. Specifically, the successful candidate will be expected to contribute to research on (1) representing and using maps of dynamics for ”flow-aware” robots that can learn, e.g., how people tend to move, and plan their motions to move safely and efficiently together with people; and (2) reliability-aware mapping and safe localisation, enabling robots to better self-monitor the quality of their mapping and localisation systems.
Research in this project will be performed in close interaction with other doctoral students and senior researchers at Örebro University, and will also involve substantial collaboration with our international and national research partners from academia and industry.
The successful candidate is autonomous, shows strong and independent problem solving and critical analytical abilities. Furthermore, the candidate has the ability to co-operate and possesses personal maturity. Fluent spoken and written command of English is essential, while knowledge of Swedish is not necessary. Excellent programming skills are also required, as in a keen interest in mathematics, computer science, and robotics. Prior knowledge in probabilistic methods is beneficial. Experience with robotic sensing and control, machine learning, and relevant software frameworks are other valuable merits.
Supervision: The doctoral student will be supervised by Dr Martin Magnusson and Professor Achim J Lilienthal.
The position is with the Centre for Applied Autonomous Sensor Systems (AASS) at Örebro University and is funded through the DARKO research and innovation project (Dynamic Agile Production Robots That Learn and Optimize Knowledge and Operation). The doctoral student will belong to the MRO (Mobile Robotics and Olfaction) lab at AASS. The AASS centre (http://www.oru.se/aass) is a strong research environment and internationally known for its expertise within artificial intelligence and robotics. Nationally, the research in AI and Robotics at Örebro is leading, and this is evidenced by the University’s involvement in a number of high profile initiatives related to AI (see oru.se/ai). Örebro University is highly active in the relevant European forums and platforms, and several EU-funded research projects. Örebro University is a modern, broad-based, and growing university. We endeavor to be an attractive place of work where members of staff feel a sense of pride and satisfaction. Currently, 1,500 employees and 17,000 students come to work and study at Örebro University.
The doctoral programme consists of courses and an independent research project that you will present in a doctoral thesis. The programme concludes with a doctoral degree and comprises 240 credits, which corresponds to four years of full-time study.
Our ambition is for your doctoral studies to be stimulating and purposeful throughout the programme until you have obtained your doctoral degree. A thorough introduction will therefore get you off to a good start and provide a solid foundation on which you can build your studies. As a doctoral student at Örebro University, you will be offered a specially tailored seminar series, covering matters ranging from doctoral programme rules and careers to stress management and networking.
The place on the programme is linked to a full-time doctoral studentship for the duration of the study programme. More information on doctoral studentships, part-time studies and part-time doctoral studentships can be found in the Regulations Handbook. The initial salary for a doctoral studentship is SEK 28 100 per month.
The doctoral studentship is a tailored form of employment for students enrolled on a doctoral programme. It guarantees employment for the duration of the doctoral programme (given that the studies progress).
For admission to doctoral studies, applicants are required to meet both general entry requirements and specific entry requirements. In addition, applicants must be considered in other respects to have the ability required to benefit from the programme. For a full account of the entry requirements, refer to the admissions regulations as well as to annex 2 to the general syllabus for computer science.
Applicants meet the specific entry requirements for doctoral studies in computer science if they have been awarded a Degree of Master of Science in Engineering or a one-year Master’s degree from a programme within the subject field or related subjects, or if they have received a passing grade of at least 120 credits, including an independent project on the second cycle, in a main field of study of relevance to the computer science field. A person who has acquired substantially corresponding knowledge, in Sweden or abroad, also meets the specific entry requirements.
For more information about the programme and the doctoral studentship, please contact Prof. Achim J. Lilienthal (email@example.com) and Dr. Martin Magnusson (firstname.lastname@example.org) or Head of Unit Prof. Lars Karlsson +46 19303355 (lars.Karlsson@oru.se).
Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations.
The application is made online. Click the button “Apply” to begin the application procedure.
For the application to be complete, the following electronic documents must be included:
As a main rule, application documents and attachments are to be written in Swedish, Danish, Norwegian, or English. Documents in other languages must be translated by an authorised translator to Swedish or English. A list of authorised translators can be obtained from Kammarkollegiet (the Legal, Financial and Administrative Services Agency), www.kammarkollegiet.se/engelska/start.
About the Role
We seek to appoint four Lecturers or Senior Lecturers in the area of Machine Learning, Social Data Science, Artificial Intelligence and Data Analytics to join our world-class research community. The successful candidates will help to develop our research vision in this exciting new area of strategic growth.
To apply, you should have a PhD or equivalent professional experience and must have an appropriate track-record of high quality research in the relevant fields above. Queen Mary University of London is a signatory of DORA declaration, and as such the quality of your research will be judged on its own merits. This will include, but not be limited to, the value and impact of all your research outputs (including datasets and software) in addition to your research publications, and a broad range of impact measures such as influence on policy and practice.
It is essential that you have clear and ambitious plans for your future research and are able to develop research proposals and effectively manage subsequent awards. It is also essential that you are an effective communicator of new and complex ideas, in both verbal and written form, and that you can engage the interest and enthusiasm of the target audience. You will be passionate about teaching and able and keen to deliver exciting and engaging new courses, at undergraduate and postgraduate level in areas such as, but not exclusively, Databases, Software Engineering, Machine Learning Deployment, Digital Media and Social Networks, Data Analytics and Applied Statistics, Data Mining, Risk and Decision-Making, Artificial Intelligence, and Neural Networks and Deep Learning.
A successful applicant at Lecturer level will have some experience of teaching and, with some guidance, will be able to deliver teaching at both undergraduate and postgraduate levels. It is expected that your research is at an appropriate level for your career stage. At Senior Lecturer level, successful applicants will have a proven research track record and will be able to deliver teaching and assessment with limited guidance. You will also have a record of mentoring and developing staff, including successful supervision of PhD students to completion.
About the School of EECS
As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are 11th in the UK for quality of computer science research (REF 2014) and 6th in the UK for quality of electronic engineering research (REF 2014). We welcome staff from diverse backgrounds and our School is keen to reduce the gender gap and provide a positive and flexible working environment for everyone.
We offer competitive salaries, pension scheme, 30 days’ leave per annum, a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family-friendly inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.
The posts are based at the Mile End Campus in London and are full time permanent appointments with an expected start date of September 2021. Starting salaries will be in the range of £42,433-£52,833 for Lecturers and £55,840-£62,415 for Senior Lecturers, inclusive of London Allowance. Please note that UK Lecturer and Senior Lecturer positions are equivalent to Assistant Professor and Associate Professor positions respectively in the US.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. We particularly welcome applications from people who identify as Black, Asian or Minority Ethnic groups and for the Senior Lectureship roles women as these groups are underrepresented at this level at Queen Mary. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. Job share requests for this post will be considered, so please state this clearly on your application.
Informal enquiries should be addressed to Professor Steve Uhlig at email@example.com. Details about the School can be found at www.eecs.qmul.ac.uk.
Candidates are advised that reference letters, certificates and/or research papers, should not be submitted at this stage.
To apply for the role, please click the ‘apply’ button below.
The closing date for applications is 15 August 2021. Interviews are expected to be held in late August/ early September 2021.
The Visual Computing Group (https://vcg.seas.harvard.edu/) in the School of Engineering and Applied Sciences (SEAS) at Harvard University seeks motivated postdoctoral fellows with a Ph.D. in computer science/engineering or a related field to work on applied research projects in computer vision and deep learning. We are working on a wide range of exciting research areas, including image enhancement, video understanding, visual question answering, and biomedical image analysis. In addition to working closely with graduate students and collaborators on research projects, the candidate is expected to actively participate in writing grant proposals.
Ph.D. in computer science/engineering or a related field to work on applied research projects in computer vision and deep learning.
Candidates should have a substantial publication history in top computer vision/machine learning venues and good teamwork and communication skills.
A complete application must include a cover letter, curriculum vitae, and three letters of reference.
Contact Email firstname.lastname@example.org
Equal Opportunity Employer
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Minimum Number of References Required 3
Maximum Number of References Allowed 5
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