University of Phayao

Description The SHORES Center at New York University Abu Dhabi (NYUAD) invites applications for a Postdoctoral Associate position in the area of Digital Twins and Artificial Intelligence (AI) for Smart Infrastructure Management Systems to work under the supervision of Professor Borja García de Soto, director of the S.M.A.R.T. Construction Research Group and Co-PI in the SHORES Center. The successful candidate will also collaborate with researchers and other Investigators from the SHORES Center on project related to the advancement of multidisciplinary research supporting the digitalization of the built environment. The selected researcher will expand the current research in the area of AI- and ML-powered digital twin frameworks for civil, energy, and built-environment infrastructure. These frameworks integrate IoT-enabled sensing and real-time analytics to support continuous monitoring, data-driven evaluation, and predictive maintenance. The work also address user comfort and indoor environmental quality (IEQ) as key dimensions of infrastructure performance. This research forms part of a broader effort to design smart, adaptive, and resilient Infrastructure Management Systems that leverage digitalization, automation, and intelligent decision-making. Key Responsibilities include conduct cutting-edge research on the integration of Digital Twins with AI/ML technologies for infrastructure lifecycle management. Develop and validate computational models for monitoring and predicting infrastructure performance. Collaborate with faculty and researchers across SHORES. Disseminate research findings through high-impact publications and conference presentations. Mentor graduate and undergraduate students involved in related projects. Candidates must hold a Ph.D. in Civil Engineering, Computer Science, or a related discipline with a focus on Digital Twins, AI, ML, or smart infrastructure systems. Strong background in computational modeling, data analytics, and/or automation in construction or infrastructure management. Demonstrated research excellence through peer-reviewed publications. Experience with programming languages and software platforms relevant to Digital Twin development (e.g., Python, MATLAB, Revit, Unity, or IoT frameworks). Excellent written and verbal communication skills in English. The terms of employment are 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, applicants must submit the following documents in PDF format: a cover letter, curriculum vitae with a complete list of publications, academic transcript, research statement, sample journal publications, and at least three letters of recommendation. For any questions, please contact garcia.de.soto@nyu.edu. 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 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 good degree in Electronics, Mechatronics, Software Engineering, or a related field. Masters, PhD and/or relevant professional certifications would be advantageous. Deep technical specialist with 10 or more years of working experience in Automation, Robotics, Autonomous Systems, or related areas in development would be preferred. Experience in following areas is highly desirable: Hands-on experience in electronics/electrical. Programming of Microcontrollers and embedded systems. Working knowledge of programming languages such ROS/ROS2, Python, C/C++ Programming, Knowledge of subjects such as computer vision, Machine Learning, Artificial Intelligence and Kinematics and dynamics. Autonomous systems, Robotics and Automation. Industry 4.0 and Internet-of-Things. Advantageous to have prior knowledge in: Hands-on experience implementation of industrial robotics systems and performing offline simulation of robotic work cells. Digitalisation skills – IoT, data analytics, artificial intelligence, machine learning, mixed reality, etc would be advantageous. Programming and simulation software such as MATLAB, Gazebo and Tensor flow. Knowledge of Linux OS. Extensive hands-on experience and knowledge of industry practices and engineering principles 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.

Ref.: 534034 Work type: Full-time Department: Department of Psychology (30200) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow (several posts) in the Laboratory of Neuropsychology and Human Neuroscience (Lab), Department of Psychology (Ref.: 534034), to commence as soon as possible for two years, renewable subject to funding availability and satisfactory performance. Applicants should possess a Ph.D. degree with a specialisation in Psychology and Computational Modelling/advanced neuroimaging data processing skills/big data processing techniques. They should have a strong interest in experimental research and demonstrated scientific expertise and excellent writing skills through publications in refereed journals. Knowledge and experience with advanced statistical techniques, database management, solid programming skills, and computational modelling are desirable. The appointees will participate in laboratory administration, project management and implementation, data management, analysis, and manuscript/grant preparation. Publication opportunities and collaborative research opportunities are available. They will also have opportunities to mentor, collaborate with doctoral students, and supervise junior research staff on their projects. For more information on the Lab, please visit the Lab webpage at https://neurotlee.hku.hk/. For enquiries about the position, please contact Professor Tatia Lee at tmclee@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, along with annual leave and medical benefits. The University only accepts online applications for the above post. Applicants should apply online. Please upload an up-to-date CV and provide the contact information for three referees in the online application form. Review of applications will start as soon as possible and continue until January 31, 2026, or until the posts are filled, whichever is earlier.