Lakeland University - Japan

Job Purpose Research Fellow (Connector) work with industry partners to co-create commercially viable solutions in healthcare innovation. They deliver on projects that help healthcare institutions and businesses to move up the innovation value chain, addressing critical challenges in Singapore's evolving healthcare landscape. While working on these projects, Research Fellow (Connector) will have the opportunity to be equipped with applied research skill sets and enhanced project implementation capabilities that are relevant to industry demands. The success of these initiatives will bring about deeper collaboration with key healthcare stakeholders that will translate the industry engagement into more innovation projects with SIT. This role will play a pivotal role in advancing healthcare innovation research and projects. Collaborating closely with faculty, healthcare institutions, industry partners, researchers, and students, the role will co-create impactful, practical, and commercially viable solutions that address critical healthcare challenges in Singapore, such as (but not limited to) automating processes, AI implementation, workflow redesigning, technology empowerment and improving operational efficiency to tackle issues related to an aging population, chronic diseases, rising healthcare costs and shortage of manpower. Key Responsibilities Applied Research and Innovation Lead and manage projects focused on healthcare innovation and assess the outcome, such as adopting automation systems, implementing AI and analytics in healthcare settings, workflow redesign for productivity improvement, and technology solutions for operational challenges in healthcare institutions and professionals. Explore emerging healthcare technologies, frameworks, and practices to advance sustainable healthcare solutions in Singapore's healthcare ecosystem. Conduct needs assessments and operational efficiency analyses to address real-world healthcare challenges, particularly in varies areas related to allied health, nursing and community health. Conceptualize, design and implement innovative projects based on deep understanding of healthcare providers' needs and available technologies, matching both of them effectively, with emphasis on practical implementation and measurable outcomes. Industry Engagement Collaborate with healthcare institutions, industry partners, and government agencies (e.g., MOH, HPB) to co-create solutions that enhance operations and support national healthcare transformation initiatives (e.g., Healthier SG, Age Well SG, 3 Beyonds). Identify emerging trends and opportunities in healthcare innovation to position SIT and its partners as key contributors to health technology advancement. Foster and maintain strong partnerships with healthcare businesses, institutes of higher learning, start-ups, and public sector stakeholders to develop impactful projects that improve healthcare delivery and population health outcomes. Serve as a technical and strategic liaison to frame projects with healthcare enterprises, identify required capabilities across the innovation ecosystem, and translate stakeholder needs into actionable initiatives. Work closely with internal teams (e.g., ICCAHI core team, IaaS, Innohub) and external partners to develop and implement collaborative projects, including co-funding arrangements and licensing opportunities. Support the attraction and development of high-value, industry-relevant projects for SIT, Polytechnics, and ITE applied research and innovation centres. Leverage industry networks to facilitate knowledge transfer, capability development, and technology adoption across healthcare and innovation ecosystems. Secure and identify funding sources through grants, proposals, and industry partnerships, and support stakeholders in grant applications (e.g., ICDG, EDG, LTIF), ensuring compliance with funding requirements and quality standards. Act as a liaison between internal and external stakeholders, including students, to gather feedback and translate insights into continuous improvements in projects and initiatives. Project Management Oversee the planning, execution, and delivery of healthcare innovation and ICCAHI-related projects, ensuring timely completion and high-quality outcomes. Plan, coordinate, and manage day-to-day operations, including developing annual roadmaps and workplans. Monitor project progress, budgets, milestones, and KPIs, and prepare regular updates and reports for stakeholders. Prepare and manage budgets, financial reports, costing analyses, and project documentation in alignment with funding and institutional requirements. Oversee project agreements, working with TTO and relevant stakeholders to ensure intellectual property protection, compliance, and effective collaboration. Maintain proper documentation and shared repositories for project tracking and reporting. Administrative and Operational Support Handle administrative functions such as account management, invoice processing, payment collection, operational duties as required, and any other administrative responsibilities within the scope of ICCAHI, as directed by Head of ICCAHI. Professional Development and Expertise Stay updated with developments in healthcare innovation, including new technologies, market development, regulations, and industry practices in Singapore and internationally. Support the cluster in obtaining IAF-ICP and IAF-PP funding by leveraging industry knowledge and proposal development expertise. Curate innovation showcases and success stories that highlight the impact of Health Living Lab projects and initiatives. Job Requirements A degree in Healthcare Management, Health Sciences, Engineering with healthcare experience, or a related field. Master in a relevant field (eg MBA) is preferred. At least 7 years of relevant industry experience in healthcare settings, with a proven track record in healthcare innovation, operational improvement, and technology implementation. Strong knowledge of healthcare technologies, resource management, and healthcare business practices in Singapore. Experience in healthcare workflow analysis, automation implementation, and healthcare metrics. Strong analytical, project management, and communication skills. Experience in writing project proposals, grants, and government tenders will be an added advantage. Extensive experience and knowledge of Singapore healthcare industry practices to bring industry perspective to SIT. Keen interest in healthcare innovation projects, with demonstrated ability in developing solutions to operational and technical problems in healthcare settings. Strong supervisory skills and enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the healthcare field and pursue professional certification programs. Possession of industrial certifications in relevant healthcare areas will be an added advantage. Key Competencies Strong understanding of the healthcare challenges faced by Singapore institutions and the market landscape in Singapore and the region, particularly regarding aging population, rising healthcare costs, and demand for efficiency. Ability to perform as a domain expert, contributing to the mapping and development of the healthcare industry ecosystem. Demonstrated ability to facilitate collaboration among diverse stakeholders, such as public agencies, POLITE, SIMTech, and IPI to advance healthcare innovation initiatives. Experience with or knowledge of various funds and grants (eg EDG, LTIF, NMRC, IAF-ICP, IAF-PP) and expertise in proposal development is preferred. Strong interpersonal and communication skills to collaborate effectively with industry partners, students, and stakeholders. Ability to work collaboratively in a cross-functional and multidisciplinary healthcare environment. Proactive approach to continuous learning and professional development. Proficient in presentation of healthcare innovation concepts and outcomes. Possess good analytical and critical thinking skills for healthcare problem-solving. Shows good initiative and takes ownership of work undertaken. Project management skills, including planning, execution, and monitoring of healthcare innovation projects.

About UM6P: Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About IWRI: The International Water Research Institute (IWRI) provides research, education, and innovation in the fields of water and climate. In order to face the next challenges. IWRI seeks to rethink and adapt research development, innovation, and training to new paradigms. It is an institute that outlines forward-thinking pathways to address water issues in a systemic manner in Africa. IWRI's vision is to Lead and develop integrated research and processes for Water & Climate concerns in Africa. We act as an African water hub through strategic cooperation and partnerships. We share comprehensive and diverse expertise to provide scientific information by focusing on four pillars: Integrated water resources management, Climate change and adaptation, Hydroinformatics, and Water technologies. Position Summary: The International Water Research Institute (IWRI) of the College of Agriculture and Environmental Sciences (CAES) at UM6P invites applications for a postdoctoral researcher position in hybrid machine learning-physics based modeling of hydroclimatic extremes in data scarce regions. The postdoctoral researcher will develop innovative hybrid machine learning-physics based modeling approaches to improve the understanding and prediction of hydroclimatic extremes in data-scarce regions, with a primary focus on Morocco. The position aims to advance methods that integrate data-driven algorithms with physically based hydrological and climate models under conditions of limited observations, while ensuring that the resulting tools are both scientifically robust and operationally relevant. A key component of the role is the translation of model outputs into actionable information for stakeholders, particularly water resource managers and planning authorities, and the evaluation of long-term water management strategies aimed at mitigating water scarcity. The project also includes assessing the transferability of the developed approaches to other regions facing similar constraints.  Scientific context: Hydroclimatic extremes such as droughts and floods are intensifying under climate variability and change, particularly in regions where observational data are sparse and monitoring systems are limited. In such context, traditional physically based models are often constrained by insufficient data, while purely data-driven approaches may lack physical consistency and generalizability. Hybrid modeling frameworks that combine machine learning with process-based understanding offer a promising pathway to overcome these limitations. Morocco provides a compelling case study, given its pronounced hydroclimatic variability, increasing water stress, and ongoing investments in large-scale water management strategies. However, significant challenges remain in reliably predicting extreme events and assessing long-term adaptation options under deep uncertainty and data scarcity. Research Scope: The project will focus on the development of a new generation of hybrid modeling approaches that couple advanced machine learning methods with hydrological and/or climate models. Emphasis will be placed on designing approaches that are robust to data scarcity through the integration of heterogeneous data sources, including remote sensing products, reanalysis datasets, and sparse in-situ observations, as well as techniques such as transfer learning and uncertainty quantification. The research will address the detection, attribution and prediction of hydroclimatic extremes under non-stationary conditions and evalaute model performance over Morocco as a primary testbed. A central components of the work will invovle translating model outputs into decision-relevant indicators and assessin the feasibility and robustness of long-term water maangemnt strategies currently under consideration. The transferability of the developed methods to other regions will also be systematically investigated. Candidate Profile: PhD in hydrology, climate science, geosciences, applied mathematics, computer science or related field Expertise in mahcine learning, physically based modeling or hybrid approaches combining boths Strong programming skills (Python, MATLAB, Fortran, or similar) and familiarity with ML frameworks. Experience with hydroclimatic data, including remote sensing products, reanalysis datasets and/or in-situ observations Knowledge of uncertainty quantification, data assimilation, or transfer learning is a strong advantage. Proven ability to handle HPC environements is an added asset Demonstrated ability to develop and evaluate models under data-scarce conditions. Ability to communicate results to both scientific and non-technical stakeholders, including water managers and policy actors.

Ref.: 535002 Work type: Full-time Department: Department of Psychology (30200) Categories: Senior Research Staff & Post-doctoral Fellow Investigator (holding the title of Educational Psychologist) in the Department of Psychology (Ref.: 535002) (to commence in September 2026, on a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary, with the possibility of renewal subject to satisfactory performance and funding availability). Duties and Responsibilities The appointee will serve as the Director or Associate Director in a large-scale, mental health, and well-being project for primary schools in Hong Kong, under the Department of Psychology, Faculty of Social Sciences. The appointee will be responsible for overseeing and directing strategic implementation of the project, requiring specialised knowledge and independent professional judgement, with major tasks including: Overseeing all the administrative, professional, and research aspects of the project Devising and implementing a mindfulness-based social-emotional curriculum for primary school students, as well as the corresponding train-the-trainer curriculum for primary school educators Developing and implementing a mindfulness-based positive parenting programme for parents Providing consultation and ongoing professional support to educators and parents to promote students’ well-being Organising and delivering training sessions and workshops for educators, parents, and students Planning and implementing public education initiatives Preparing research reports and non-technical documents Performing any other duties as assigned Requirements The appointment (Investigator) will be offered based on the qualifications and experience of the applicant. The appointee should possess: a master’s or doctoral degree in Educational Psychology or a related discipline, with at least six years of relevant work experience strong quantitative research skills in the social sciences a good command of spoken and written English and Chinese (including Cantonese & Putonghua) training and experience in teaching mindfulness and positive education to both children and adults are preferred relevant work experience in a school setting is required a Postgraduate Diploma in Education is preferred What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. How to Applyf The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until 30 May, 2026, or until the post is filled, whichever is earlier.