Universitas Pendidikan Indonesia

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.: 534694 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Clinical Associate Professor in Gastroenterology in the Department of Medicine, School of Clinical Medicine (Ref.: 534694), to commence as soon as possible, on a four-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and consideration for tenure before the expiry of a second four-year fixed-term contract. Applicants should possess a medical degree registrable with the Medical Council of Hong Kong, a relevant higher academic qualification (e.g. M.D., Ph.D.), a higher qualification in internal medicine, and a specialist qualification in gastroenterology recognized by the Hong Kong Academy of Medicine or its equivalent. They should have proven capacity and potential, and an outstanding track record of active research, including high-impact research output, external competitive grants and research awards; demonstrate a strong commitment to excellence in clinical services and training; and have engaged in undergraduate and postgraduate teaching. They should also be fluent in Cantonese, Putonghua and English, although teaching, research and professional activities are conducted in English. Preference will be given to those with a track record in research governance, university and hospital administration, and experience in both early- and late-phase clinical trials.  The appointee is expected to participate in the planning and delivery of undergraduate and postgraduate programmes; conduct research in gastroenterology; develop and provide regular clinical services and patient care at the University’s affiliate teaching hospitals; and contribute to administrative duties in the Department, Hospitals and Faculty. Information about the Department can be obtained at http://www.medic.hku.hk/.  A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. A monthly cash allowance will be offered to the successful candidate. Housing benefits will also be provided as applicable. The University only accepts online application at the University’s career site (https://jobs.hku.hk) for the above post. Applicants should apply online and upload (1) an up-to-date CV, (2) 3 reference letters, and (3) a teaching and research statement. Review of applications will start from June 1, 2026 and continue until July 1, 2026, or until the post is filled, whichever is earlier.

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 3,000 of them contribute to enabling excellent research and teaching through their expertise and work in administration and organisation. They know how they can work best. Flexible, remote and with as much freedom as they need to develop their potential. You know, too? We are seeking a/an Technician 47 Faculty of Psychology Startdate: 01.05.2026 | Working hours: 40 | Collective bargaining agreement: §54 VwGr. IIIb Limited until: 31.10.2026 Reference no.: 5513 The Faculty of Psychology is seeking to fill the position of a technician to oversee the transition of several research positions from the Vienna Cognitive Science Hub to the faculty. This cross-faculty and cross- departmental role is assigned to the Department of Cognition, Emotion, and Methods in Psychology. The advertised position is for 40 hours per week and is limited to 6 months. Your personal sphere of influence: The members of the Faculty of Psychology engage in research and teaching focused on describing and explaining human experience and behavior, as well as changes therein. Based on integrative and complementary research approaches from neuroscience, cognitive science, and the social sciences, the goal is to make theoretically grounded and empirically testable contributions to scientific knowledge and its transfer. The Department of Cognition, Emotion, and Methods in Psychology consists of approximately 100 staff members organized into eight research units with laboratories equipped with EEG, fNIRS, VR, eye-tracking, physiology, and brain stimulation systems. Our international team places great value on respectful interaction and independent work. Your future tasks: Supporting the transition of researchers from the Vienna Cognitive Science Hub to the Faculty of Psychology as a replacement for the previous technical support provided by a data scientist. Transfer of collected scientific data, data backup/cloud-based infrastructure for collected data and study-related products. Assisting with the organization and post-processing of collected raw data for use in ongoing projects within the context of the Study Participant Platform (SPP). In particular, advanced statistical analysis methods (latent profile analysis, network analysis) and statistical software packages will be utilized. Administrative support for managing specialized software and transferring/developing analyses to open-source software. Support in presenting research on the Vienna CogSci Hub’s Transition website. This is part of your personality: General or vocational secondary school (upper level) Programming skills: R, SPSS required; MatLab, MPlus, etc. are a plus Excellent written and spoken English Excellent communication skills and strong verbal and written expression Knowledge of latent profile analysis and network analysis is a plus Knowledge of eye-tracking and fNIRS is a plus Knowledge of project management and field studies is a plus Research experience in experimental/empirical methods is a plus You should be a team player What we offer: Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement). Inspiring working atmosphere: You are part of a committed team with diverse university backgrounds in a relaxed work environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Internal further training: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: Salary will be paid in accordance with the Collective Bargaining Agreement of the University of Vienna. The basic salary of EUR 3,131.30 (III b) based on full-time employment, paid 14 times per year, increases based on professional experience. The advertised position is for 40 hours per week and is limited to 6 months.  Equal opportunities for all: We welcome every additional/new personality to the team! It’s that easy to apply: With your CV & letter of motivation (max. 2 pages) Certificates Via our job portal / apply button If you have any content questions, please contact: Matthew Pelowski matthew.pelowski@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection  Application deadline: 04/10/2026 Laboratory & Technology