Arak University of Technology

Ref.: 534589 Work type: Full-time Department: Department of Psychology (30200) Categories: Senior Research Staff & Post-doctoral Fellow Investigator / Research Officer (holding the title of Educational Psychologist / Clinical Psychologist / School Development Officer) in the Department of Psychology Work type: Full-time Department: Department of Psychology Categories: Senior Research Staff & Post-doctoral Fellow We now invite applications for the captioned post. Investigator / Research Officer (holding the title of Educational Psychologist / Clinical Psychologist / School Development Officer) in the Department of Psychology (Ref.: 534589) (to commence in September 2026, on a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary, with the possibility of renewal subject to satisfactory performance and funding availability). Duties and Responsibilities The appointee will play a key role in a large-scale, mental health, and well-being project for primary schools in Hong Kong, under the Department of Psychology, Faculty of Social Sciences. The appointee will be responsible for the professional oversight and strategic implementation of the project, requiring specialised knowledge and independent professional judgement, with major tasks including: Devising and implementing a mindfulness-based social-emotional curriculum for primary school students, as well as the corresponding train-the-trainer curriculum for primary school educators Developing and implementing a mindfulness-based positive parenting programme for parents Providing consultation and ongoing professional support to educators and parents to promote students’ well-being Organising and delivering training sessions and workshops for educators, parents, and students Planning and implementing public education initiatives Preparing research reports and non-technical documents Performing any other duties as assigned Requirements The appointment (Investigator / Research Officer) will be offered based on the qualifications and experience of the applicant. The appointee should possess: a Master’s degree or above in Educational Psychology, Clinical Psychology or a related discipline, with at least three years of relevant work experience strong quantitative research skills in the social sciences a good command of spoken and written English and Chinese (including Cantonese & Putonghua) training and experience in teaching mindfulness and positive education to both children and adults are preferred relevant work experience in a school setting is preferred a Postgraduate Diploma in Education is preferred What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. How to Apply The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until 29 March, 2026, or until the post is filled, whichever is earlier.

Description The Embodied AI and Robotics (AIR) Laboratory in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Research Engineer to support applied research and development in artificial intelligence and robotics. The successful candidate will contribute to projects in Embodied AI, focusing on integrating AI-driven perception, reasoning, and action to enable intelligent robotic behavior across diverse environments. The position involves developing and testing embodied intelligence systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Research Engineer will assist in system design, software implementation, and experimental evaluation on robotic platforms, working closely with faculty, postdoctoral researchers, and students. The Embodied AI and Robotics Lab (AIR) develops intelligent robotic systems capable of understanding, learning, and acting in complex, dynamic settings. The lab’s work lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied agents that interact naturally and safely with humans and their surroundings. The lab collaborates closely with NYU’s global network, including NYU New York, and offers a vibrant, interdisciplinary research environment. Applicants must hold at least a Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field, or have equivalent professional experience. Candidates should demonstrate technical proficiency in one or more of the following areas: Embodied AI and robot learning Vision-language-action (VLA) or multimodal AI modeling Perception, control, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical experience with robotic hardware, software development (e.g., Python, ROS, PyTorch, TensorFlow), and AI-based experimentation is highly desirable. The candidate should be motivated, detail-oriented, and able to work effectively as part of a collaborative, multidisciplinary team. For consideration, applicants should submit a cover letter, curriculum vitae, transcript, statement of research interests, and contact information for three references, all in PDF format. For further information, please contact Prof. Yi Fang, Director of the Embodied AI and Robotics Lab, at yfangl@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. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email: mrasras@nyu.edu. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply.

About the project You will join an interdisciplinary project delivered through a collaboration between the Institute of Sound and Vibration Research, the School of Biological Sciences, and Mechanical Engineering at the University of Southampton. The project addresses fundamental questions about how plants generate and respond to sound and what role sound may play in stress responses, below-ground processes and pollination. The research combines controlled experiments, advanced measurement and multiphysics modelling, and will generate open datasets and workflows to catalyse the emerging field of plant acoustics. We are recruiting a Research Fellow with a biology background to lead controlled plant growth and biological measurement campaigns, working closely with acoustics and modelling colleagues. They will have experience with plants, microbiomes, and bees/pollinators. Key accountabilities / duties You will: Design and execute controlled plant growth and stress-response programmes across model crops. Deliver high-quality measurements of plant physiology and growth under defined environmental and acoustic conditions. Lead below-ground sampling and analyses, including root phenotyping/architecture assessment and root evaluation. Undertake rhizosphere-related measurements including root exudates and the collection and analysis of the root microbiome Set up pollination trials, including recording bee sounds, and acoustic stimulation. Contribute to reproductive/pollination-linked measures including nectar and pollen metrics. Work closely with the acoustics PDRA to align biological protocols with measurement requirements, and with the modelling PDRA to support model parameterisation and interpretation of simulation results. Maintain accurate experimental records, contribute to data curation and support and lead publication and dissemination activities. Candidate requirements Essential PhD (or near completion) or equivalent qualifications and experience in Plant Biology, Plant Physiology, Microbiology, or a closely related discipline. Demonstrable experience designing and running controlled environment plant experiments. Experience with bee behavioural experimental design and implementation. Experience with handling roots, particularly for rhizosphere collection or exudate collection Experience with microbiome data or other similar omics datasets Strong quantitative skills and ability to manage and analyse experimental datasets. Ability to work collaboratively across disciplines and communicate methods and findings clearly. Desirable Experience measuring root traits (root architecture metrics) Experience with metabolomics and volatile analyses Experience working with interdisciplinary teams involving engineering/physics measurement or modelling. This post is aiming to start from June 2026 (by agreement). For informal enquiries please contact Dr. William King W.L.King@soton.ac.uk