Soran University

An exciting opportunity is available for a talented researcher to join a successful team in Primary Care Research Centre/Clinical Experimental Sciences to develop an e-learning tool for clinicians supporting families with sleep problems and ADHD. This will be in collaboration with teams at the University of Nottingham and Nottingham Trent University. The post is available under the supervision of Professor Cathy Hill and Dr Mary Steele in close collaboration with the wider DISCA team (www.discasleep.org.uk). The successful candidate will be primarily responsible for supporting the development of an e-learning tool based on analysis of qualitative research on user needs, user feedback and a review of existing educational material and approaches that have been successful in similar contexts. The role will also include planning for the dissemination and implementation of the tool. There will be opportunities to contribute to other elements of the research programme subject to capacity and competencies.  Applicants will have experience of conducting qualitative research and developing and delivering education for healthcare professionals. You will also have experience of working collaboratively with external teams. Successful applicants will have demonstrated their ability to work independently and efficiently in a research context and will have excellent written English skills with meticulous attention to detail. Your knowledge and experience will usually have been gained through a relevant PhD, but may also have been achieved via other research experience, normally supported by a relevant postgraduate degree. Successful applicants will have demonstrated their ability to work independently and efficiently in a research context and will have excellent written English skills with meticulous attention to detail. The post is fixed term for 12 months and will be offered half time (0.5 FTE) from January 2026 or shortly thereafter.  For an informal discussion about the post please contact Professor Cathy Hill (C.M.Hill@soton.ac.uk) or Dr Mary Steele (M.E.Steele@soton.ac.uk).

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.  Job Details This Research Engineer will contribute to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making (MCDM) framework and tool. The work will involve integrating results from GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration of the project. Key Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python or equivalent programming frameworks. Develop a user-friendly interface (QGIS plugin or web-based application) for decision-making and data visualization. Collaborate with the GIS Research Fellow to integrate ecosystem service layers and model outputs. Conduct tool testing, validation, and iterative refinement based on stakeholder feedback. Manage documentation, data pipelines, and version control. Support system deployment on a secure project server and ensure cross-platform interoperability. Assist in project management and support the team in facilitating and organizing workshops, stakeholder sessions, and policy dialogues. Be involved in regular field work data collection and to perform environmental and biodiversity surveys (fish, birds and insects) as part of a research team. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Software Engineering, Geomatics, Environmental Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models into intuitive, interactive user interfaces. Good teamwork, documentation, and problem-solving skills. Self-motivated and able to learn new tools and frameworks independently. Additional Note: While prior experience with GeoTOPSIS/VectorMCDA is not mandatory, it will be considered a strong advantage. On-the-job training will be provided to equip the candidate with necessary methods and integration workflows with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA methods in GIS environments. Good teamwork and communication skills for collaboration with the project team. Strong problem-solving ability, adaptability, and willingness to learn new tools. Good organizational and documentation skills; familiarity with GIS is a plus.

Department: Mathematics & Statistics Vacancy ID: 039223 Closing Date: 25-Jan-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. The University Tutor plays an important role in the delivery of many of the University’s academic programmes and is appointed for the primary purpose of contributing to teaching within a clear and established teaching programme by providing tuition and/or demonstrations to groups of, usually undergraduate students, in specific aspects of the programme. The University Tutor assists and supports students to further develop their understanding of key course topics and to draw out key learning points from course materials. University Tutor: €45,051 – €57,348 p.a. (7 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 25th January 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University