Jaramogi Oginga Odinga University of Science and Technology

This is a fixed term post for 4 months to cover maternity leave. An opportunity has arisen to join the team at the Glen Eyre Halls of Residence. This is a fixed-term contract for four months. The post is a busy customer-facing role that is based across two areas- the main reception and the post room. You will be regularly interacting with students, contractors and visitors. You will need to to be used to using IT systems, answering phone calls, and quickly become familiar with the University processes and procedures. There are four other members of the team and you will need to be able to work Monday to Friday between 8am-4pm and 12pm-8pm depending on the rota. There is never a dull moment and each day can throw up new challenges, but we all work together and support each other to deliver the best service we can. 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. 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: Biology Vacancy ID: 042043 Closing Date: 19-Jul-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. We are seeking an excellent academic to join our staff as an Assistant Professor / Lecturer in Molecular Plant Science. The person appointed will have a proven record of teaching, research and publication, appropriate to career stage. They will be expected to make a strong contribution to the teaching programme of the Department and undertake teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision of Master’s and PhD students. The appointee will be expected to build a strong research profile, that supports the University’s research strategy including affiliating to the Research Institutes, where appropriate and working with colleagues on national and international research. The appointee will be expected to sustain and conduct research, engage in scholarship of quality and substance and generate publications of international standard.  Salary: Assistant Professor / Lecturer: €65,401 – ccc (7 points) Assistant Lecturer: €42,599 – €72,718 p.a. (14 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 19th July 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