Asbury University

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 Fellow will contribute to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information Systems (GIS) and related fields, with added expertise in ecosystem services assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues at the policy–academic interface. This position is ideal for an early- or mid-career researcher with experience in GIS or remote sensing who seeks to apply and expand their expertise in a fast-paced, interdisciplinary research environment. The successful candidate will work with leading researchers and contribute to cutting-edge research and policy dialogues at the intersection of blue–green infrastructure, tropical urban ecosystem services, and urban resilience (covering themes such as urban flooding, thermal cooling, recreation, and biodiversity). The work includes Local Climate Zone (LCZ) classification and collaboration with Japanese university partners for integrated macro- to micro-scale analysis. 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 Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.  Identify, simulate, and analyse ecosystem service models using GIS, remote sensing, and field data. Manage, process, and analyse ecological and socio-economic datasets to develop and calibrate high-accuracy ecosystem service models. Conduct literature reviews and synthesize findings into conceptual frameworks and research designs. Support cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization. Draft and edit research reports, policy briefs, and academic manuscripts. Contribute to project management, workshop organization, and stakeholder or 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 and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem service identification and analysis is highly advantageous. Excellent data management, research design, and reporting skills. Strong communication and presentation skills in English. Highly organized, proactive, and capable of working both independently and within multidisciplinary teams. Additional Note: While prior experience in ecosystem service modelling and simulation is not mandatory, it will be considered a strong advantage. Candidates with a solid GIS or remote sensing background who demonstrate interest in applying their skills to ecosystem service assessment are encouraged to apply. The project team will provide on-the-job training and guidance in ecosystem service modelling tools (e.g., InVEST and related software) to support skill development and ensure effective integration across research tasks. Key Competencies Integrates GIS, remote sensing, and environmental data for spatial modelling. Proficient in or able to learn ecosystem service software (e.g., InVEST, ARIES). Strong analytical, problem-solving, and data interpretation skills. Effective in research design, reporting, and scientific communication. Works independently and collaboratively in multidisciplinary teams. Demonstrates initiative, adaptability, and sound research ethics.

Job Purpose The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT Key Responsibilities Design and teach labs & practice modules. Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP). Lead or co-lead innovation projects with industry. Manage labs and equipment to support academic programmes and applied research. Ensure safety in labs. Job Requirements Education & Certifications: Bachelor’s or Master’s Degree in Software Engineering, Computer Science, or related fields from a recognized University. Major in Information Security will be advantageous. Professional or industry certifications such as Cisco (CCNA), Juniper (JNCIA), Huawei (HCNA), Aruba (ACA), or equivalent will be an added advantage. Experience: A minimum of 10+ years of industry experience as a software engineer or network engineer with strong technical expertise and hands-on experience. Proficiency in software development principles, including Object-Oriented Design, Microservices, API integration, and full software development lifecycles. Strong programming skills in C/C++, Python, Java (preferred but not limited to). Hands-on experience in enterprise networking, including LAN/WAN design and operations with protocols and technologies such as VLAN, OSPF, ACL, VRF lite, VRRP, VPN, and link aggregation. Familiarity with software for networking devices/functions (routers, switches, firewalls) or network automation / SDN. Understanding of software repository management and/or change management processes for network/software version control. Demonstrated ability to mentor, supervise, or guide students in applied projects or research initiatives. Soft Skills & Mindset Self-starter with a problem-solving mindset and a passion for continuous learning. Ability to work closely with students and researchers to design, implement, and evaluate applied projects. Willingness to explore open-source solutions independently and contribute to collaborative projects with students, researchers, and industry partners.

Department: IT Services Vacancy ID: 040103 Closing Date: 08-Mar-2026 Maynooth University wishes to appoint a Senior Network Specialist on a full-time permanent basis. This appointment at AOI grade will report to the ICT Infrastructure Manager. The Senior Network Specialist will be a technical lead in the design, development, operation and support of campus network services ensuring the security and availability of the network and ICT infrastructure services. Applicants should be aware that this is a role that supports critical infrastructure located on campus and as such, the successful applicant will be expected to work on campus to discharge their duties and on limited occasions it may also be necessary to work outside normal hours as is typical with roles involving critical infrastructure and services. The ideal candidate will possess strong technical expertise in campus and enterprise data centre networking, including wired and wireless (Wi‑Fi) services and modern network security technologies and design. They should have hands‑on experience managing a physical campus network environment. In addition, the candidate will be an experienced team leader and an effective collaborator, demonstrating excellent interpersonal and communication skills. The position of Senior Network Specialist will work as part of the Infrastructure Team in IT Operations and will also work with staff from across the Directorate to help plan provision with the aim of ongoing improvements to our network service for a consistent user experience and overall cybersecurity posture. The role also will engage across the University as required advising on best practice network usage and service. The Higher Education landscape is complex and presents a number of challenges for network services while safeguarding data and users. The operating environment is hybrid in nature, with on premise and cloud provision for both staff and student and for managed and unmanaged devices. Salary: Administrative Officer I: €59,812– €85,339 p.a. (9 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 8th of March 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