Kunming Medical University

Description The Robot Learning & Control Lab (REAL Lab) at NYU Abu Dhabi is seeking an outstanding Post-Doctoral Associate to contribute to cutting-edge research in robot intelligence, machine learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI for physical systems. The postdoc will work on projects focusing on one or more of the following: Robot Learning & Autonomy – Developing algorithms that allow robots to learn (via exploration or imitation) from interaction, adapt to new tasks, and generalize across environments. Dexterous Manipulation – Advancing robotic grasping, in-hand manipulation, and adaptable object handling in complex real-world scenarios, including those involving deformable objects and uncertain conditions.. Semantic Navigation & Mapping – Designing solutions for robot navigation, for Mobile Manipulators, that integrate environmental semantics and spatial reasoning. AI for Physical Systems – Leveraging machine learning and AI to improve performance, safety, and adaptability of robots, autonomous vehicles, and other intelligent machines. Safe and Certified Control for manipulation: Designing control algorithms that ensure passivity, Lyapunov stability, and safety for human-robot collaboration. Qualifications: Applicants must have a PhD in Robotics, Control Engineering, Machine Learning, AI, Mechanical or Electrical Engineering, or a closely related field. Strong focus on robot manipulation learning & control, and differential geometry is a plus. Knowledge of safe control methods including Lyapunov stability, barrier functions, and certified learning frameworks. Hands-on experience with robotic manipulators (preferebly Franka Emika R3 robots) and real-world experimentation. Demonstrate a high degree of self-motivation, research-oriented thinking, and a drive to operationalize robotic systems for real-world tasks. Strong publication record in top-tier venues: ICRA, IROS, RA-L, T-RO, IJRR, CoRL, NeurIPS, RSS, CDC, TAC. Proficiency in Python, C++, ROS, and machine learning frameworks such as PyTorch or TensorFlow. Excellent communication and collaboration skills, with the ability to work effectively in an interdisciplinary research environment. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript and two letters of reference, all in PDF format. If you have any questions, please email Prof. Fares Abu-Dakka at fa2656@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately, and candidates will be considered until the position is filled. Position Details Duration: 2 years, with the possibility of renewal based on performance and project needs. Location: NYU Abu Dhabi, a world-class research institution offering a collaborative, interdisciplinary research environment. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply

Tenure Track Professor Organizational BehaviorGeorgetown University: Main Campus: McDonough School of Business: ManagementLocation: Main CampusOpen Date: Aug 07, 2025Deadline: Sep 15, 2026 at 11:59 PM Eastern TimeDescriptionWe invite applications for an Assistant Professor tenure-track position in the Management Area. We are looking for exceptional scholars with training in business and related disciplines, such as psychology and sociology, who want to work with an outstanding group of faculty members in a supportive environment. We welcome micro-, meso-, and macro-level OB candidates. We are particularly interested in applicants who use theory to empirically address important questions and problems related to organizations. Successful candidates will target or have published in top management journals such as the Academy of Management Journal, Administrative Science Quarterly, Management Science, Organization Science, Organizational Behavior and Human Decision Processes, and the Journal of Applied Psychology. Current faculty conduct research on a wide range of topics pertaining to the future of work, including entrepreneurship, collaboration, remote working, labor markets, algorithms, machine learning, emotions, negotiations, open science, and organizational culture (https://msb.georgetown.edu/faculty-research/management/). ABOUT GEORGETOWN UNIVERSITY's MCDONOUGH SCHOOL OF BUSINESSGeorgetown University's McDonough School of Business offers unparalleled access to the world's business, policy, and thought leaders. The school, which attracts faculty and students from around the world, is committed to building global business knowledge and inspiring ethical leaders to serve the common good. Known for its emphasis at the intersection of business and global affairs and its values-based approach to business as part of Georgetown's rich Catholic, Jesuit tradition, the school also is focused on how business can be a force for change by addressing fields of the future, such as healthcare, sustainability, and AI and the future of work. The school's undergraduate and graduate degree programs provide solid grounding in all the core management disciplines, with an emphasis on the global, ethical, and political environment of business. The McDonough School of Business has an ongoing commitment to being a community in diversity as a fundamental aspect of the Georgetown community.APPLICATION PROCEDURESubmit your cover letter, CV, research statement, teaching statement, and up to three published or working papers to Interfolio (no need to send letters of recommendation at this point). Applicants with a specific interest in working at Georgetown or living in the Washington, D.C. area are encouraged to elaborate on these considerations in their cover letters.All applicants must have a PhD or expect to receive one prior to beginning the role. You may submit questions about the position to MSBMgmtfacrecruiting@georgetown.edu.Applications will be reviewed as received, but are due no later than September 15, 2025.The projected salary or hourly pay range for this position is $150,000 - $190,000, which represents the full range of anticipated compensation for this position. Compensation is determined by a number of factors including, but not limited to, the candidate's individual qualifications, experience, education, skills, and certifications, as well as the University's business needs and external factors. QualificationsApplication InstructionsFor more information and to apply, visit https://apply.interfolio.com/172164GU is an Equal Opportunity Employer. All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law.Copyright ©2025 Jobelephant.com Inc. All rights reserved.Posted by the FREE value-added recruitment advertising agency jeid-5b64ce95d5ab4e45bdce7a3b7efb1347

About Us King’s College London is a leading University with nine Faculties. As part of King’s Health Partners, we have an excellent environment for health care interaction and a strong focus on mentoring and career development. ​The 2021 Research Excellence Framework (REF2021) placed King’s applied and allied health research 1st for: overall proportion of research rated 4* (world-leading, the best mark possible), research papers rated 4*, impact rated 4*, environment rated 4*(joint), Grade Point Average and Power. REF2021 rated as world-leading: 100% of our environment, 86% of our impact and 70% of our research overall. Over 95% of our research overall was rated as world-leading or internationally excellent.  ​As of 2025, King’s is number 1 in the world for Nursing (QS world rankings). King’s produces more highly cited research outputs (top 1% citations) on palliative care than any other centre internationally (SciVal), and is second in the world on the same metric for nursing and midwifery. King’s is the largest provider of health care education in Europe. ​The Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care (NMPC) is based in the heart of central and south London. It includes the Cicely Saunders Institute for Palliative Care, Policy & Rehabilitation, the premier Institute for Palliative Care, bringing together clinical, research and education teams. ​Our applied clinical and health multidisciplinary research transforms therapies, the healthcare experience and outcomes for patients and those important to them, wherever they are cared for. Our award-winning NMPC education programmes span pre-registration nursing and midwifery, and multidisciplinary post-graduate taught and research programmes. ​We are committed to staff development and offer opportunities to identify and access appropriate training and professional growth. About the role King’s College London’s Simulation and Interactive Learning Centre is seeking a Simulation Education Specialist to support the delivery of high-quality, clinically relevant simulation-based education across the Health Faculties. This professional services role acts as a key link between the centre and academic colleagues, helping to translate curricular and clinical requirements into practical, well-designed learning activities that meet recognised standards of simulation practice. You will play a central role in planning, coordinating, and delivering simulation sessions that are educationally sound, operationally feasible, and provide meaningful learning outcomes for students and staff. The post holder will develop, maintain, and manage centre-specific educational resources, documents, and repositories, including exploring opportunities for automation to improve efficiency and resource tracking. By capturing the educational demand from faculties, you will help inform service planning, centre resource development, and potential research initiatives, contributing to the continuous enhancement of simulation-based education across King’s Health Faculties. You will provide guidance on best practice in simulation pedagogy, support faculty colleagues in session design, and ensure all activities comply with quality assurance processes and clinical standards. The successful candidate will have experience in delivering or supporting simulation-based or interactive learning in healthcare or higher education and a strong understanding of clinical practice. You will demonstrate excellent organisational, planning, and problem-solving skills, and be able to make decisions independently while balancing operational constraints and educational objectives. Effective communication and collaboration are essential, as you will work with academic staff, clinical educators, technical teams, and students to ensure smooth delivery and meaningful outcomes. Attention to detail, flexibility, and a commitment to continuous improvement are key to success in this role. The role offers opportunities to engage in interprofessional or complex clinical simulation, participate in educational evaluation or research, and apply educational technology and automation tools to enhance resource management and delivery. Candidates with experience in these areas will have the opportunity to innovate and help shape the future of simulation-based learning at King’s. This is an exciting opportunity to contribute to innovative, interactive healthcare education at one of the UK’s leading universities, influencing the learning experience of students, faculty, and healthcare professionals alike. This is a full time post (35 hours per week), and you will be offered an indefinite contract. King’s considers the professional and personal development of our staff a priority and we offer an inspiring range of opportunities for training and career progression. Our Organisational Development team provide in-house and bespoke learning. Location: 5 days on campus (based at Guy’s Campus, with supporting other campuses as per need). About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Experience in supporting or delivering simulation-based or interactive learning, preferably in a healthcare or higher education setting Understanding of clinical practice and the ability to translate it into relevant, clinically meaningful simulation activities Knowledge of simulation pedagogy, recognised standards, and quality assurance processes Strong organisational and planning skills, including the ability to prioritise and coordinate multiple sessions and resources Problem-solving and decision-making skills, with the ability to respond flexibly to operational challenges Excellent communication skills, verbal and written, to work effectively with academic, clinical, and professional stakeholders Experience in developing, maintaining, and managing educational resources, documentation, or repositories, including opportunities for automation Collaborative and service-oriented approach, demonstrating flexibility, attention to detail, and commitment to continuous improvement Desirable criteria Experience in using simulation technology for interprofessional education or complex clinical scenarios Knowledge of research or evaluation in simulation-based education or similar Experience with educational software, learning management systems, or automation tools for resource planning Experience in training or mentoring staff and students in simulation facilitation or educational practice Formal training or certification in simulation education or instructional design Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension. We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £39,076 - £43,909 per annum, including London Weighting Allowance Job ID: 135745 Close Date: 29-Jan-2026 Contact Person: Robert Colson Contact Details: Robert.colson@kcl.ac.uk