Phetchaburi Rajabhat University

Department: School of Nursing Vacancy ID: 039483 Closing Date: 15-Feb-2026 The Role  Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking excellent academics to join our staff as an Assistant Professor/Lecturer in Clinical Skills and Simulation-Based Education. The persons appointed will have a proven record of teaching, research and publication, appropriate to career stage. They will be expected to make a strong contribution to the teaching programme of the Department and undertake teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision of Master’s and PhD students. The appointees will be expected to build a strong research profile in clinical skills and simulation-based education, They will be responsible, with other members of the team, for developing and managing the clinical skills and simulation suite whilst teaching therein through a diverse range of modalities including face-to-face in the classroom and skill laboratory (synchronous and asynchronous teaching), simulation and the virtual learning environment. In this role, they will also expand knowledge and practice through research and scholarly activity. Salary  Assistant Professor / Lecturer: €64,753 – €102,539 p.a. (7 points) Assistant Lecturer: €42,099 - €71,998 p.a (14 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 15th of February 2026. Please note all applications must be made via our Online Recruitment Portal at the following link: https://www.maynoothuniversity.ie/human-resources/vacancies Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the 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

Job Description FACULTY OF SCIENCE DEPARTMENT OF MATHEMATICS The Department is strongly committed to producing top-class research in the areas of applied mathematics, scientific computing and statistics, while simultaneously emphasises the nurturing of students from a wide range of academic backgrounds. It receives allocation from Science Faculty Niche Research Area to establish world-class research teams to develop the necessary experimental platforms, modelling and data analysis capabilities. Research Assistant Professor (25260446) Responsibilities: The Department is recruiting one scholar at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original methodologies are preferred. Requirements: Applicants should possess a relevant PhD degree with a solid and outstanding track record in research. They should have a solid statistical background, and a strong commitment to excellence in teaching and mentorship. The initial appointment will be made on a fixed-term contract of two years. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with job identification number (stated above) quoted on the letters, to the Human Resources Office (Email: hro@hkbu.edu.hk) direct. Those who are not invited for interview 2 months after submission of application may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the position is filled.