Hiroshima Kokusai Gakuin University

About the job: Landscapes of Catastrophe: archaeology, social-ecological and biological contexts for the Great Irish Famine, 1845-52 is an interdisciplinary project investigating the ecological, biological and social contexts of An Gorta M r, the most profound demographic and diasporic event in Ireland over the last millennium during which more than two million people died or emigrated. The project develops new approached to constraining environmental and landscape chronologies for the period 1650-1960 CE and uses these to reconstruct demographic and agricultural change through palaeoenvironmental evidence. Six case study landscapes across Ireland form the core analytical framework, each illuminating different demographic, environmental, social, and religious impacts of the Famine. The successful candidate will contribute a broad, multi-proxy palaeoecological skillset to the project. They will carry out field sampling and laboratory analysis of peat and soil sequences from case-study landscapes across Ireland, and will work closely with the project Co-Leads to deliver integrated palaeoenvironmental work packages. Core analytical responsibilities include pollen, non pollen palynomorph, plant macrofossil, XRF, isotopic, and tephra analysis, alongside the construction of Bayesian age-depth models using radiocarbon, 210Pb, and tephrochronology. Candidates with experience in metagenomics (sedimentary aDNA), biomarkers, or a demonstrated capacity to acquire new palaeoenvironmental techniques are strongly encouraged to apply. The successful candidate will receive tailored training and mentorship as appropriate, and will have access to state-of-the-art facilities including the 14CHRONO Centre and the Institute for Heritage and Environmental Science at QUB. Successful applicants will have responsibilities for independent and directed research, supervision of technical analysis, assisting in the planning and day-to-day management of the palaeoecological work packages, related collaboration and outreach. The successful candidate will join laboratories with internationally recognised strengths in radiocarbon dating, palaeoecology, scientific archaeology and interdisciplinary approaches to understanding the past. The post benefits from more than £6m of recent investment in geochronology, isotope geochemistry, and analytical instrumentation (including XRF, X ray imaging, Micro CT, SEM, LA ICP MS, TQ ICP MS, and microprobe), offering extensive opportunities for training, skills development, and professional growth. About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Have a relevant PhD in Palaeoecology or closely cognate discipline. Specific, relevant* research experience to include: An established expertise and proven portfolio in multi-proxy palaeoecology research. Demonstrable experience in the collection, preparation and analysis of peat and soil sequences using palaeoecological and geochemical methods (including pollen, non‑pollen palynomorphs, plant macrofossils, XRF and tephra analysis), and in constructing robust age–depth models based on radiocarbon, 210Pb, and/or tephrochronology. Proven ability to publish in national/international journals (commensurate with stage of career). Experience of working effectively as part of a research team in the development and promotion of research project results. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information.

Ref.: 534816 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow Research Assistant Professor (to be seconded to GBAICTI as its Data Scientist (Artificial Intelligence)) (Ref.: 534816) The Greater Bay Area International Clinical Trial Institute (GBAICTI) is a wholly-owned entity of the Government of the Hong Kong Special Administrative Region, serving as a centralized clinical research facilitation platform with the mission of creating and sustaining a thriving clinical research ecosystem and driving development in Hong Kong and Greater Bay Area (GBA). In November 2024, the University of Hong Kong LKS Faculty of Medicine (HKUMed) was appointed as the operator of GBAICTI. In December 2025, the Real-World Study and Application Centre (RWSAC) was established under GBAICTI to open up local health and medical databases and promote collaboration between Hong Kong and other GBA cities. We are now seeking a high-calibre professional to join the RWSAC (located at Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone) as Data Scientist (Artificial Intelligence). We now invite applications for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper insights from RWD and enhance the centre’s analytical capabilities. Develop, validate, and deploy AI/ML models to support RWE generation. Leverage the RWSAC's AI facility to conduct large-scale analyses and build innovative tools derived from RWD to improve clinical practice and research. Stay abreast of the latest developments in AI/ML for healthcare and ensure methodologies are cutting-edge and scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. Minimum of 5 years’ experience in data engineering, data ops, or AI/ML data management, preferably in the medical and/or research sectors. Hands-on experience of building and maintaining production-grade datasets for AI/ML models. Strong analytical thinking and attention to detail. Good command of written and spoken English and Chinese (including Putonghua) Shortlisted candidates will be invited to attend a written test and/or an interview. What We Offer The appointment will commence as soon as possible on a 2-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from April 15, 2026 and continue until May 31, 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

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