President University

Clinical research in Mood Disorders The Faculty of Medicine and Hampshire and Isle of Wight Healthcare NHS Foundation Trust are collaborating in a clinical research study, led locally by Professor David Baldwin, investigating the effects of transcranial direct current stimulation in patients with depression. This is an excellent opportunity for a candidate with strong research and organisational skills to develop their expertise. Applications are invited from enthusiastic early-stage researchers to join the research team. The post involves undergoing training in certain psychopathological rating scales, providing study information and assessing potential study participants, monitoring participant progress during the study, entering data into on-line systems, assisting with study awareness-raising, and attendance at local and national research team meetings. The appointee joins an existing research team, working on this and other studies. They would ensure that the study is undertaken in accordance with Good Clinical Practice and other regulatory standards. About the University Psychiatry is part of the Faculty of Medicine and is established within one of the UK’s leading research-intensive Universities and a founding member of the prestigious Russell Group. The University has an international reputation for research, teaching and enterprise activities. The Faculty of Medicine has taken a leading role in delivering the University’s multi-disciplinary research strategy.  The job This is a part-time fixed appointment to 30 April 2028, available from April 2026.  The successful applicant will be educated to degree level in a relevant discipline and will have previous experience in working in academic or clinical settings. The candidate will demonstrate a proactive approach, the ability to use own initiative, and well-developed attention to detail. The candidate will have an opportunity to gain additional knowledge and experience in clinical related research. Informal enquiries relating to the project or candidate suitability should be directed to Professor David Baldwin dsb1@soton.ac.uk The Faculty of Medicine holds an Athena SWAN Silver Award demonstrating commitment to equal opportunities and gender balance in the workplace. The Faculty recognises that applicants may seek flexible working patterns which will be considered as part of the recruitment process. please see our working with us website page

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. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills.

(Ref. No.: FAH/DJP/SII/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 Department of Japanese (DJP) of the Faculty of Arts and Humanities invites applications for the position of Senior Instructor/Instructor in the following discipline: Japanese Studies: Open specialization, although Japanese Language Education would be preferred. The Department of Japanese is an established and distinguished scholarly community with a strong international tradition for the teaching of Japanese language and courses in Japanese Studies. In addition to its undergraduate BA programme in Japanese Studies, the department offers an undergraduate Minor Programme in Japanese Studies, as well as possible PhD supervision across the range of the department’s expertise. The department has particular strengths in Japanese Linguistics, Japanese History and Japanese Language Education. In addition to undergraduate teaching, graduate-level teaching and supervision may be possible within related areas. Qualifications Applicants must possess a Master’s degree or above in the field of Japanese Language Education or other areas of Japanese Studies from an accredited programme and experience and/or qualifications in teaching Japanese language to non-native students. Applicants should have their degree in hand upon application. Successful candidates also need to possess excellent organizational abilities, strong communication skills, and effective leadership qualities. Excellent command of Japanese language is expected. Ability to speak Chinese (Putonghua or Cantonese) may be an advantage, but more important are abilities to work well with a multicultural staff. Applicants with a proven academic research record and administrative experience are especially welcome. The selected candidate is expected to assume duty in August 2027. Remuneration A taxable annual remuneration starting from MOP559,300 (approximately USD69,050) 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. The application documents should include 1) a cover letter and a curriculum vitae; 2) 3 recommendation letters; 3) a teaching portfolio that includes a statement of teaching philosophy and sample teaching materials; 4) institutional-administered teaching evaluations of recent two years (if any); 5) academic certificates and 6) graduate transcripts. 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 8699; 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**