State Islamic University of Sunan Gunung Djati Bandung

Description The Center for Interacting Urban Networks, New York University Abu Dhabi, seeks to recruit a Junior Research Scientist to support the project LANDMark on research on land economics, in any of the following areas: Measurement of land prices, with a focus on imputation techniques Land value determinants: public infrastructures (transport, health, and education services) Macroeconomic stability and instability in the presence of land as a fixed, non-produced asset Taxation of land wealth as an alternative to the consumption tax and the capital tax The political economy of land and its taxation Land, fixed resources, and political conflict The successful applicant will contribute to the research centered on any of these themes. The qualified candidate will have an MSc or an MA in economics or another quantitative field with no more than five years from receipt of the degree, and an appetite for working on interdisciplinary teams. This position requires: Research experience in the mentioned areas of land (in a broad sense, including housing, macroeconomics, labor, urban, spatial economics, political economy, and conflict). Excellent communication skills in English. Ability to work in teams Applicants must submit a cover letter, curriculum vitae, a statement of research interests, a transcript or degree, and the contact information for 2-3 referees, who may be contacted during the selection process. The research statement should outline specific projects that the candidate would like to lead within CITIES, along with potential collaborators within the Center. If you have any questions, please email us at nyuad.cities@nyu.edu. Evaluations will begin immediately and continue until the role is filled. The earliest start date for this position is January 1st, 2027. About LANDMark (Land Assets, National Development and Markets): This project, developed by Etienne Wasmer, professor of Economics and program head in Economics at NYUAD, and funded for the next 6 years (2027-2032), brings together a group of researchers working on land all over the world. A team of 4 postdocs will constitute the project's core. Associations and collaborative research funding projects with researchers in Economics, Engineering, Computer Science, and Political Science are encouraged. The post-doctoral associate will be hosted in the Social Science Division, near the economics faculty, and can be affiliated with CITIES (infra). About The Center for Interacting Urban Networks (CITIES): The NYUAD’s Center for InTeractIng urban nEtworkS (CITIES – مدن) is an interdisciplinary research center dedicated to advancing urban science and promoting cutting-edge research that is translated into practical, real-world solutions for the benefit of society. Our mission is to establish a vibrant and globally recognized knowledge hub for urban networks, bridge the gap between scientific significance and practical value, and further develop the human capital to propel the city of Abu Dhabi and the UAE into a more prosperous and sustainable future. CITIES leverages the expertise of faculty members from the four Divisions of NYUAD and world-renowned scientific collaborators from multiple institutions within and beyond the NYU Global Network, as well as local stakeholders and private companies across the UAE and abroad. 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. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD

Schemes of Service: Research Division: Health and Social Sciences Employment Type: Temporary Job Purpose As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  The primary responsibility of this role is to deliver on industry innovation research where you will support all aspects of the project to investigate neuroplasticity and recovery of movement quality after stroke using multimodal functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT), National University of Singapore (NUS), National University Hospital (NUH), University of Glasgow (UOG), Queen Elizabeth University Hospital (QEUH), Glasgow Royal Infirmary (GRI) and Nanyang Technological University (NTU) in the areas of Neuroscience, Psychology, Movement Science and Rehabilitation. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met. Prepare data collection forms/interview questions/questionnaire and recruit and/or interview subjects. Maintain accurate records of interviews, safeguarding the confidentiality of subjects, as necessary. Perform computational modelling and analysis of the neuroimaging and behavioural data, with guidance from senior colleagues as required. Provide ready access to all experimental data for the faculty researcher and/or supervisor. Prepare materials for submission to granting agencies, foundations and Ethics Committee review. Prepare progress reports for the PI and funding agency. Prepare other articles, reports, and presentations. Coordinate and attend project meetings, monitor the project budget and work on other projects and initiatives, as required. Conduct literature reviews for publications and research briefings. Contribute to the dissemination of research findings (e.g., journal, conference, book). Support and collaborate with research assistants, graduate and undergraduate students, where applicable. Work in a team, contribute to the identification of possible funding sources and/or the planning and development of externally funded research proposals in an area relevant to the project. Perform other research-related tasks as required by the Principal Investigator. Job Requirements A good degree in relevant discipline (e.g. experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, electrical engineering, biomedical engineering, computer science, physics or related fields). A PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are welcome to apply. Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages such as SPSS, R for statistical analyses and visualisation will be an advantage. Some research and/or clinical experience/interest in the area of stroke rehabilitation or care will be an advantage. Key Competencies Good scientific writing skills with relevant publications will be an advantage. Strong ability to work within a multidisciplinary team. Experience of supporting research projects and bringing them to successful completion. Possesses sound judgment and superior decision-making and problem-solving skills. Good interpersonal, written and verbal communication skills. Able to build and maintain strong working relationships with people within and external to the university. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work. Organisation Chart The research staff will report to Assistant Professor Choo Pei Ling. Major Challenges Some parts of the work (e.g. data collection, analysis) may be held at external sites (e.g. NUS, NTU) which may require swab testing prior to entry. Candidate can expect to work at external sites and SIT Punggol campus as needed. Candidate can expect to be flexible with work hours (i.e. there may be occasions where evening or weekend work is needed).

Applications are invited for a Research Fellow position with Responsible AI UK (RAi UK), based at the University of Southampton. The post is full-time for 20 months, with potential for extension. The post holder will not be required to be based at Southampton but must be able to meet in person with the team once a week. You will join Responsible AI UK, a £31 million UKRI-funded national programme spanning 28 UK universities and over 150 partner organisations across academia, industry, government and civil society. RAi UK is one of the largest responsible AI research programmes in the UK, working at the interface of interdisciplinary research, policy and practice. You will work alongside the CEO, Professor Sarvapali (Gopal) Ramchurn, and the RAi UK leadership team. About the role This is an opportunity for an experienced postdoctoral researcher to work at the heart of one of the UK’s largest responsible AI programmes. The post holder will translate technical outputs from across the RAi UK portfolio and the wider Responsible AI landscape into clear, evidence-based policy advice for government, industry and the public. The research will focus on: Agentic AI systems and their governance Physical AI and its integration with real-world systems Measurement and evaluation of agentic AI performance The implications of these technologies for government, industry and the wider public The post holder will design and convene roundtables, workshops and events with senior stakeholders across UK government, regulators, industry, civil society and international partners. They will synthesise findings into white papers, policy briefings and consultation responses, and will represent RAi UK at national and international policy fora. The role may require travel across the UK and internationally. To be successful you will have: A PhD (or equivalent professional experience) in a discipline relevant to responsible AI, including computer science, AI, data science, science and technology studies, law, public policy, ethics, sociology, or political science Demonstrable experience translating technical research into policy-relevant outputs such as white papers, briefings, consultation responses or evidence submissions A strong understanding of contemporary debates in AI governance, evaluation, assurance, agentic AI and/or physical AI Experience designing and convening events or roundtables with senior stakeholders from government, industry and/or civil society Excellent written and oral communication skills, with the ability to present complex concepts clearly to diverse audiences Willingness and ability to travel across the UK and internationally to represent RAi UK This post offers significant exposure to senior policymakers, opportunities for visible thought leadership, and the chance to shape national and international conversations on the responsible governance of agentic and physical AI. Applications for the position will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the PhD qualification being awarded, the title of Senior Research Assistant will be given. For further information about Responsible AI UK, please visit: https://rai.ac.uk