Al-Iraqia University

(Ref. No.: IAIBS/FAAP/HCI/04/2026) The University of Macau (UM) is an internationalized research-oriented comprehensive public university in the Macao Special Administrative Region (MSAR) located at the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The GBA is rapidly developing into one of the leading technology and innovation hubs of the world. UM is placed No. 145 in the THE World University Rankings and placed No. 285 in the QS World University Rankings. With a scenic campus of approximately 1 km2 on Hengqin island, UM has achieved significant progress in the past decade as evidenced by its rising international repute, state-of-the-art teaching and research facilities, and the establishment of three State Key Laboratories in microelectronics, Chinese medical sciences, and internet of things for smart city. To support economic diversification of MSAR and deepen collaboration between MSAR and Guangdong Province in Hengqin island, UM will continue to invest in cutting-edge research and develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain science and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic development in MSAR and the GBA as a whole. In addition, UM is currently establishing a campus in the Guangdong-Macao In-Depth Cooperation Zone in Hengqin, which is expected to be operational in 2028. With unprecedented growth and development, UM offers a wide range of opportunities for high-calibre talents at all levels to achieve their career goals. It may be noted that English is the working language and the primary medium of instruction at UM. The Institute of Artificial Intelligence and Brain Sciences (IAIBS), currently operating as the Institute of Collaborative Innovation and scheduled for formal establishment in August 2026, invites applications for the position of Full/Associate/Assistant Professor in Human Computer Interaction. IAIBS aims to become an internationally leading interdisciplinary research institute by advancing deep integration and innovation of artificial intelligence and brain sciences. It aspires to establish itself as a key hub for AI and brain science in the Greater Bay Area and globally. IAIBS consists of four research platforms: neuroimaging (3T MAGNETOM Prisma fMRI/fNIRS/EEG/MEG) core lab, brain intervention (TMS/tDCS/laser or ultrasound modulation) core lab, behavior data collection core lab and high performance computing core lab. It is expected that high-profile research work will be carried out through these platforms to produce a number of key scientific outputs and discoveries with world influence. Qualifications Prospective applicants should specialize in human computer interaction, cognitive neuroscience, emotional AI, or the interface of brain sciences and AI in general, and should possess a PhD and/or MD-PhD with extensive experiences in related fields. Preference will be given to candidates with advanced expertise and in-depth knowledge of neuroimaging and brain intervention. The selected candidate is expected to assume duty in 2026. Remuneration A taxable annual remuneration starting from MOP1,250,200 (approximately USD154,350) for the position of Full Professor, MOP1,052,800 (approximately USD129,980) for the position of Associate Professor and MOP855,400 (approximately USD105,600) for the position of Assistant Professor will be commensurate with the successful applicants’ academic qualification and relevant professional experience. The current local maximum income tax rate is 12% but is effectively around 5% - 7% after various discretionary exemptions. Apart from competitive remuneration, UM offers a wide range of benefits, such as medical insurance, provident fund, on-campus accommodation/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/. Application Procedure Applicants should visit https://career.admo.um.edu.mo/ for more details, and apply ONLINE. Review of applications will continue until the position is filled. Applicants may consider their applications not successful if they are not invited for an interview within 3 months of application. Human Resources Section, Office of Administration University of Macau, Av. da Universidade, Taipa, Macau, China Website: https://career.admo.um.edu.mo/;  Email: vacancy@um.edu.mo Tel: +853 8822 8578;  Fax: +853 8822 2412 The effective position and salary index are subject to the Personnel Statute of the University of Macau in force. The University of Macau reserves the right not to appoint a candidate. Applicants with less qualification and experience can be offered lower positions under special circumstances. ***Personal data provided by applicants will be kept confidential and used for recruitment purpose only*** ** Under the equal condition of qualifications and experience, priority will be given to Macao permanent residents**

The Department The Department of Physics at Durham University is one of the leading UK Physics departments with an outstanding reputation for excellence in teaching, research and employability of our students. In the Research Excellence Framework (REF) exercise of 2021, the Department had 96% of publications rated as 3*/4*. The Department is committed to advancing equality and we aim to ensure that our culture is inclusive, and that our systems support flexible and family-friendly working, as recognised by our Juno Champion and Athena SWAN Silver awards. We recognise and value the benefits of diversity throughout our staff and students. Durham University hosts one of Europe's largest and most active research groups working in the fields of observational and theoretical extragalactic astronomy, cosmology, and instrumentation. Currently we have about 35 permanent members of academic staff, around 100 postdoctoral researchers and postgraduate students, and several research-active emeritus staff. We have access to all UK national observing facilities, including ESO, ALMA and ESA, and membership of the KMOS, NuSTAR, XRISM LOFAR, PAUS, MOONs and IXPE teams. Durham is also a partner in the DESI, 4MOST, WEAVE, Euclid, LSST, JCMT, HARMONI, and e-MERLIN collaborations and surveys. We are part of the Virgo Consortium and host extensive supercomputing resources, including the `Cosmology Machine', some of which is part of the DiRAC national supercomputing facility. Further information may be found at . The Role Research Assistant We invite applications for a Research Assistant position, to start in October 2026, with an initial period of 2 years and the possibility of further extension. The post is funded by the ERC Consolidator Grant project X-MAPS and will be supervised by Dr Adam Ingram, who will be moving to Durham University in June 2026. The successful candidate will join thriving research teams within the Centre for Extragalactic Astronomy (CEA) at Durham, which is a leading group in observational astrophysics with expertise in compact objects, active galactic nuclei, galaxies and large-scale structure. The Role Postdoctoral Research Associate We invite applications for a Postdoctoral Research Associate position, to start in October 2026, with an initial period of 2 years and the possibility of further extension. The post is funded by the ERC Consolidator Grant project X-MAPS and will be supervised by Dr Adam Ingram, who will be moving to Durham University in June 2026. The successful candidate will join thriving research teams within the Centre for Extragalactic Astronomy (CEA) at Durham, which is a leading group in observational astrophysics with expertise in compact objects, active galactic nuclei, galaxies and large-scale structure. The role will contribute to the goals of the X-MAPS project, which aims to unify fast X-ray timing and X-ray polarimetry techniques to improve our understanding of black hole X-ray binaries and measure black hole fundamental properties. Specific research projects include training neural networks to act as fast drop-in replacements for advanced X-ray timing and polarisation models (e.g. the X-ray reverberation mapping code RELTRANS), and applying advanced Fourier timing techniques to search for rapid spectral and polarimetric variability in the X-ray signal from black hole X-ray binaries. We are therefore searching for candidates with experience in theoretical modelling of accreting black holes and/or in observational stochastic X-ray timing and polarimetric analysis.

Ref.: 536109 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Research Assistant Professor in the HKU Research Hub of Population Studies (the Population Hub), Faculty of Social Sciences (Ref.:536109), to commence as soon as possible, on a two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. This position will immerse the appointees in both academic research and teaching in the multi-disciplinary team of the HKU Research Hub of Population Studies (https://www.socsc.hku.hk/rhps/) within the Faculty of Social Sciences. Duties and Responsibilities The appointees will be primarily responsible for the following: Involve in on-going research projects of the Population Hub Draft proposals, reports, and presentations relevant to the projects Perform advanced quantitative data analysis Publish high-quality academic papers in peer-reviewed journals Mentor junior research staff Teach one undergraduate or taught postgraduate course per year, if required; and Support and perform other duties as assigned Requirements The appointees are expected to have: A Ph.D. degree in the Social Sciences, Sociology, Demography, Statistics, Public Health, Social Work, or a relevant discipline A strong quantitative background and extensive experience in managing and analysing large and complex datasets; expertise in Computational Social Science and proficiency in longitudinal analyses, multilevel modelling, data visualisation, and state-of-the-art statistical models would be an advantage The ability to develop a strong body of high-quality publications in scholarly journals with global impact The ability to multitask and work under tight schedules to meet project deadlines The ability to work independently and collaboratively as part of a team A strong commitment to teaching and training activities in the Population Hub and the Faculty A strong sense of self-motivation, responsibility, and work ethics Good analytical, communication, organizational, and problem-solving skills What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits, with a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. How to Apply The University only accepts online applications for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date CV. Review of applications will commence as soon as possible and continue until May 15, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency