Tashkent International University of Financial Management and Technology (TIFT)

(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 McCarthy Lab has an exciting opportunity for a prospective Research Technician who is interested in synthetic biology approaches to engineer biofilms to better tackle environmental challenges. You will be joining a highly interdisciplinary project, where we will blend synthetic biology, environmental engineering, and biotechnology to develop disruptive solutions to major environmental challenges. Experience with advanced cloning systems, CRISPR tools, metagenomic mining and the use of different biofilm imaging platforms is highly desirable. There will be a particular focus on developing approaches to harness bacterial community behaviours like biofilm formation to better tackle environmental pollutants such as waste plastics. Our aim is to leverage cutting-edge advancements in synthetic biology and biofilm engineering to develop innovative strategies for bioremediation, with a key focus on scalable solutions that can be readily adopted by the waste and water sectors. This fast-paced project will give the successful candidate the opportunity to develop new skills by working closely with our interdisciplinary team and build their international profile including through research visits to academic collaborators and working with SMEs. The successful candidate will be responsible for accurate and efficient data generation, data management, collation and the reporting of results to the project lead. The post-holder will need to demonstrate excellent attention to detail, organisational, team working and communication skills and have a keen interest in drafting research outputs for peer-review publication. The successful applicant will work closely with other researchers within the McCarthy Lab and with other EBIC partners. There will also be opportunities to explore the commercial  Applicants must have a BSc or MSc in a relevant discipline. Experience and knowledge in the field of biofilm formation is essential. Experience in some or all of the following: advanced cloning systems, CRISPR tools, metagenomic mining and the use of different biofilm imaging platforms is highly desirable. They should be enthusiastic, well motivated and be able to work both independently and collaboratively. This position is available for 32 months. Please include one paper or preprint that illustrates research skills that are relevant to this project.  We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity. Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will 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 Research Fellow / Engineer (Building-Grid Interaction Design) will contribute to a two-year applied research project funded by the BCA, focusing on the development of a power grid interactive building or cluster of buildings. The role involves designing and implementing monitoring, visualization and control system to coordinate multiple energy sources including battery energy storage systems (BESS), solar PV, and diesel generators, and dynamically interacting with building management system to shed signficant loads under varying operating conditions. The research staff will develop, simulate, and test controller logic using MATLAB/Simulink or similar environments, analyse performance across diverse scenarios, and document results for technical reporting. This position is ideal for candidates with a strong foundation in modern facilities management, mechanical and electrical engineering and energy efficiency management.  Key Responsibilities Participate in the research project to design a microgrid controller for grid interactive building applications. Develop control algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with the microgrid model and validate performance under different simulated conditions. Conduct testing of control strategies under various operating conditions such as extreme weather, load variation, equipment failure and deployment constraints. Prepare documentation, flowcharts, control logic diagrams, and controller specifications for the final report. Assist with procurement of software licences and technical equipment. Conduct Risk Assessments and ensure compliance with WSH regulations. Support supervision of capstone project students involved in the project. Work independently and collaboratively to maintain research software and project tools. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by supervisor. Job Requirements Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or a related field from a recognised university. Strong programming skills in MATLAB/Simulink, Python, C/C++, or similar environments. Understanding of control systems, power electronics, or energy management strategies. Experience in microgrid controller design is advantageous. Familiarity with BESS control strategies, SOC management, or optimisation algorithms preferred. Support supervision of capstone project students involved in the project. Ability to implement and test algorithmic logic using simulation tools. Strong analytical, problem-solving, and debugging skills. Excellent technical writing, communication, and interpersonal skills.