Ştefan cel Mare University of Suceava

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

Graduate Research School - Mt Helen, Berwick or Gippsland Campus Full-time, continuing appointment Academic Level C - $136,795 p.a. plus up to 17% superannuation About the role As an integral member of the Graduate Research School you will have responsibilities for the management of courses and curriculum, and for the development and delivery of research skills and supervision training. You will also have some broad administrative functions within the Graduate Research School, while undertaking your own research and HDR supervision activities. You will: lead the development and delivery of research training and research supervision training for Higher Degree by Research Candidates and their supervisors; undertake research activities, including supervising HDR candidates; and contribute to the administrative functions of the Graduate Research School, particularly with respect to curriculum and course management. About you You will work as part of the team of academic and administrative staff within Federation University's Graduate Research School, supporting graduate research activities across all campuses and locations, and all disciplines. You will possess proven educational, research, research training and professional experience, with an understanding of the contemporary professional and educational issues related to graduate research. You will be a creative thinker and avid problem-solver, who possesses initiative, innovation, and a can-do attitude. You will possess: demonstrated commitment to graduate research training and enthusiasm for the development of research skills in others in the context of graduate research and supervision ; experience in course and/or curriculum management; experience in delivering content in a multi-campus context; demonstrated record of research at a national level; demonstrated capacity to supervise higher degree by research candidates; and excellent interpersonal, oral and written communication skills. All University positions delivering education and/or services to children must hold a valid Employer Working With Children Check (WWCC). Please refer to the position description for WWCC requirements. How to apply Please apply by Sunday, 15 February 2026 Applicants are required to submit a resume and a response to key selection criteria. View position description If you are experiencing technical difficulties with your application, please email the Recruitment team or phone 03 5327 9756. Our position descriptions also list a contact person for job specific inquiries. Federation University is committed to The Circle Back Initiative program, whereby we will respond to every applicant. For more information on a career with us, please visit our website or let our staff tell you more https://www.youtube.com/watch?v=Xg_6dvxP8cA.

Job Purpose The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT. Key Responsibilities Design and teach labs & practice modules. Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP). Lead or co-lead innovation projects with industry. Manage labs and equipment to support academic programmes and applied research. Ensure safety in labs Job Requirements A Master’s degree in Radiography or related field. Possessing a PhD will be an added advantage. Deep technical specialist with 10 or more years of working experience in the acute / community / other clinical rehabilitation setting. Possess clinical experience and competence in Radiography. Having expertise in general radiography or other area of specialization (e.g., MRI, CT, Ultrasound, Angiography and Fluoroscopy) is preferred. Knowledge and experience in working with simulated healthcare institution and community environment and educational manikins will be advantageous. Extensive experience and knowledge of industry practices to bring industry perspective to SIT.  Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems. Strong supervisory skills and enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage.