Bicol University

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 SNB-valid Full Practicing Certificate (Registered Nurse). A degree in Nursing from a recognised University. Possessing a Master’s degree, PhD degree and relevant certifications will be an added advantage. Have at least 10 years of clinical nursing experience in healthcare settings. Extensive experience and knowledge of nursing skills and industry practices to bring industry perspectives to SIT. Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems. Experience in research projects and publications will be an added advantage. Strong supervisory skills and enjoy working closely with students in an educational environment. Experience in simulation education will be an added advantage. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possessing industrial certifications in relevant areas will be an added advantage (e.g., simulation training) Possession of a good network of relationships with industry partners in hospitals, community, and ILTC sectors will be an added advantage.

About Us The King’s Health Partners Experimental Cancer Medicine Centre (ECMC) is one of 29 centres across the UK and specialises in new molecular and cellular cancer immunotherapies. The KHP ECMC has been awarded funding for a further 5-years to expand their trials portfolio, including agents discovered and developed by King’s College London researchers. With an extensive portfolio of early phase and translational clinical trials, there is an increasing requirement for tissue sampling and complex sample preparation. The post is based within KHP Cancer Biobank, part of the School of Cancer and Pharmaceutical Sciences. About The Role The successful candidate will support the ongoing expansion of trial-related sample handling and processing. This work requires effective monitoring, collection, and processing of patient samples in accordance with defined protocols. The postholder will have a broad knowledge and experience of sample handling. The translational lab can be supporting 20 or more trials at any one time and the postholder will be responsible for delivering a reliable and accurate service. This requires good organisational and planning skills. The postholder may be required to communicate complex information clearly and concisely with the clinical trial team members. Alongside clinical trial activities, the successful candidate will provide support to the Cancer Biobank. This will primarily involve processing biological fluids, which may include periods of intense activity. Both clinical trial and biobank activities are undertaken within a tightly regulated environment. The postholder will be required to actively participate in the quality management system. However, evolution of systems is encouraged to improve efficiency and sustainability. Whilst sample collection should be scheduled in advance, a flexible approach is required as these may be at locations other than Guy’s Hospital and are dependent upon other Trust service providers. Hence, sample collection and processing may occur outside of core hours. The post holder will be responsible to the Specialist Chief Technician and accountable to KCL Head of Biobanking. This is a full time (35 hours per week) post and will be offered on a fixed term contract until 31/03/2027. This post is subject to Disclosure and Barring Service and Occupational Health clearances. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Minimum level 3 qualification, e.g. A levels, AS levels, International Baccalaureate diploma or other Level 3 qualification, plus work experience in relevant technical/scientific posts OR Considerable knowledge and skills gained through work experience in relevant technical or scientific posts.  Evidence of an active commitment to career development including professional registration, such as RSciTech or RSci and clear progression in increasingly demanding jobs.  Knowledge and practical use of a range of technical skills and their environmental impact.  Ability to apply learnt techniques to the work context. Clear spoken and written communication skills, with proficient computer use and strong interpersonal and influencing/behavioural skills.  Proactive and responsive to contacts in immediate area, across the wider organisation and externally (e.g., suppliers) to build relationships and network.  Solutions-focused self-starter, with strong planning and analytical skills, able to manage competing priorities and work with minimal supervision  Working knowledge of regulations and best practice governing area of work, including Health & Safety and environmental sustainability.  Desirable criteria Experience in supervising/advising less experienced colleagues, monitoring, and providing feedback on performance.  Able and willing to provide support beyond core hours, as required.  Previous experience of handling and processing biological samples.  Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £34,713 per annum inclusive of London Weighting Allowance Job ID: 133967 Close Date: 04-Jan-2026 Contact Person: Amy Pope Contact Details: Amy.pope@kcl.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 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.