University of Technology and Applied Sciences - Ibri
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CRUK Senior Research Nurse
University of Southampton
United Kingdom, Southampton
University of Southampton
United Kingdom, Southampton
This is an exciting opportunity to combine senior leadership in cancer clinical research with a public-facing role for Cancer Research UK, promoting the work of the charity through your role at the University of Southampton. You will provide strategic clinical leadership across a portfolio of early and late phase trials, including experimental medicine studies, supporting high-quality, inclusive research delivery and improving patient access to clinical trials. You will act as an expert resource to research nursing and trial delivery teams, offering mentorship and guidance to ensure studies are delivered to the highest standards of Good Clinical Practice, ethics and regulatory compliance. While not holding direct line management responsibility, you will maintain oversight of workforce capability, service pressures and portfolio needs, supporting prioritisation, recruitment and study delivery. You will be a visible ambassador for Cancer Research UK, promoting research engagement and meaningful patient and public involvement, including working with communications teams to reach wider audiences. Working collaboratively across the CRUK network, NIHR infrastructure, NHS cancer centre and academic partners, you will help optimise research pathways, reduce inequalities in access to trials and support the development and delivery of a strong research portfolio. We are seeking a highly motivated individual with excellent interpersonal, communication and organisational skills, who thrives on working independently and collaboratively. You will have significant experience in oncology and/or clinical research, a proven record of team leadership in healthcare and a degree level (or equivalent) nursing qualification. Experience of financial management is desirable. The role is primarily weekday-based with some flexibility required; occasional out-of-hours work may be necessary. This post is full time, fixed term until 31st March 2029, with part-time applications considered. The University of Southampton offers 30 days annual leave, plus 8 bank holidays with an additional 6 extra statutory leave days over Easter & Christmas (all pro-rata for part time staff). *An enhanced DBS check is required for this role. For informal enquiries please contact Sean Lim by email: s.h.lim@soton.ac.uk The Faculty of Medicine holds an Athena SWAN Silver Award demonstrating commitment to equal opportunities and gender balance in the workplace. The Faculty recognises that applicants may seek flexible working patterns which will be considered as part of the recruitment process. For further information including key benefits designed to help maintain and support employees' well-being and work-life balance, please see our working with us website pages.
Salary
£46,049 to £58,225 per annum
Posted
27 May 2026
Senior Professional Officer (& Above) in Food Analysis
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Professional Officer in Food Analysis The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the Punggol Digital District features a vibrant learning environment where academia and industry are tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research. The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum. SIT is expanding its applied Food Technology research capabilities in waste valorisation, sustainable and healthy food, building a cohort of academic staff who are keen and experienced working on industry problems across sectors. Focus areas for applied Food Analysis domains such as: Carbohydrate Chemistry Prebiotics for gut health Proteomic profiling Bioactive compounds Metabolics profiling during or after digestion or cell cultivation Food structure characterisation Responsibilities: Design, develop, and teach laboratory sessions and practice-based modules in Food Chemistry, Food Characterisation, and Food Analysis or other related areas. Lead or co-lead innovative applied research and industry collaboration projects with industry partners and government agencies. Secure and manage research grants to support applied research initiatives. Supervise and mentor students in applied research projects, Capstone Projects, and the Integrated Work Study Programme (IWSP). Manage laboratory facilities, equipment, and technical resources to support academic programmes and applied research activities. Ensure compliance with laboratory safety policies, procedures, and best practices. Contribute to the development of applied Food Research capabilities, learning resources, and industry-relevant curriculum support. Work closely with faculty and internal stakeholders to drive teaching, applied research, and innovation initiatives outcomes. Qualifications: A good Bachelor’s, Master’s or Doctorate degree in Food Science, Food Technology, Chemistry, Food and Biological Engineering, Material Science or a related discipline, with demonstrated experience in Food Analysis and Characterisation of carbohydrate, proteins, polyphenols, or metabolises like mycotoxins to support research or application. Equivalent industry experience may also be considered. Desirable relevant industry experience, preferably in a technical role within an organisation driving research and/or innovation outcomes. Strong technical expertise in one or more of the following areas: Carbohydrate chemistry for structure, compositional analysis including while not limited to starch, oligosaccharide, soluble and insoluble fibres. Knowledge in structure-function relationship of polysaccharides (fiber, starch). Such knowledge can be transferred to ingredient formulation technology which integrated with food processing and food texture. Proteomic and amino acid profiling, bioactive compounds (vitamins, minerals, polyphenols) and toxic compounds that exist or produced during food processing. Intensive experience and knowledge of operating HPLC, MALDI-TOF and Q-TOF Mass spectrometry, SEC-MALS for biomacromolecule size/shape determination, and NMR spectroscopy for protein sequencing, carbohydrate/sugar analysis, polyphenol and bioactive compound identification. Texture and structure characterisation using equipment such as rheometer, AFM, DMA, TGA, DSC. Demonstrated experience applying Food Analysis to the SIT’s Food Technology focus areas. Previous experience as lab-in-charge or equipment-in-charge will be advantageous. Demonstrated interest and capability in supporting research and academic project work, with the ability to develop software solutions to technical problems. Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment. Commitment to continuous learning and professional development, with the ability to keep abreast of developments in the field. Relevant industry certifications will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required. Key Competencies Have relevant competence in the areas of analytical chemistry for chromatographic analysis for carbohydrate (polysaccharide and oligosaccharide), protein, amino acids, polyphenols, and other bioactive compounds. Passion for teaching, coaching, and mentoring students and junior practitioners. Strong analytical and hands-on problem-solving skills. Ability to build and maintain effective working relationships with internal and external stakeholders especially equipment vendors. Adaptability and willingness to work across functions and teams in a dynamic environment. Self-motivated and committed to continuous learning and professional growth. Strong technical writing, communication, and presentation skills. Good analytical, critical thinking, and problem-solving abilities. Proactive, resourceful, and able to take ownership of assigned responsibilities.
Salary
Competitive
Posted
27 May 2026
Research Fellow / Research Engineer (MedTech / HealthTech Engineering) - (LJY)
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Job Purpose The Research Fellow / Research Engineer (with focus on MedTech / HealthTech Engineering) will support applied research and innovation in community and allied health by translating clinical and operational needs into engineering requirements, prototypes, technical evaluations, deployment support and evidence reports. The role focuses on hands-on medtech / healthtech engineering, project coordination and implementation support for healthcare projects. This role is focused on MedTech / HealthTech Engineering. The candidate should have good project-management discipline and experience coordinating engineering, prototyping, testing or implementation workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through practical engineering and deployment outputs. Key Responsibilities Applied Research & Development Translate clinical needs assessment and workflow analysis into engineering requirements for organisational innovation transition, focusing on but not limited to community and aged care settings, nursing homes, hospitals, home-based care and palliative care settings. Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, care automation and assistive technologies. Develop and execute healthcare innovation projects by supporting design, prototyping, testing, technical evaluation, data collection and implementation for Proof of Concept (POC) and deployment in community-care or healthcare settings. Industry Collaboration Support collaborations with industry and healthcare partners to understand technical problem statements, user requirements, operating constraints and integration needs, and contribute to practical engineering solution development. Assist in project scoping by gathering engineering, technical, integration and validation inputs, and by identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners). Participate in industry meetings, discussions, and project engagements. Project Execution & Support Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned medtech / healthtech engineering workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment. Generate technical reports, presentations, design notes, prototype records, test plans, validation summaries, deployment trackers and evidence documentation on the development, validation, deployment and value capture of healthcare solutions and applications. Contribute to grant proposals and project submissions where required. Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects. Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned engineering, technical documentation and project support tasks. Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation. Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation. Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals. Role-specific skill focus — MedTech / HealthTech Engineering: translate user and clinical needs into engineering requirements; support design, prototyping, testing, validation, integration and deployment; prepare technical documentation and evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate engineering findings into practical recommendations for Professional Officers, faculty, project leads and healthcare partners. Job Requirements Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech, Product Development, Clinical Engineering or related disciplines with relevant experience in engineering, prototyping, product development or healthcare innovation related work. Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings. Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous. Possess understanding of healthcare innovation concepts (e.g., medtech / healthtech development, prototyping, care automation, commercialisation, health economics and value capture). Strong analytical skills and attention to detail. Excellent written and verbal communication skills. Resourceful, meticulous and problem-solving attitude. Experience supporting or coordinating industry or applied research projects, preferably involving medtech / healthtech engineering, biomedical devices, assistive technologies, digital health, care automation, clinical workflow optimisation or healthcare innovation solutions. Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work. Experience supporting project proposals, funded projects or partner engagements will be advantageous. For this MedTech / HealthTech Engineering role, relevant experience in engineering design, prototyping, testing, technical validation, product development, system integration, biomedical devices, assistive technologies, sensors, digital health solutions or equivalent engineering methods is required. All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation. Key Competencies Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors. Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders. Ability to work collaboratively in a cross-functional and multidisciplinary environment. Proactive approach to continuous learning and development in the healthcare innovation field. Proficient in technical writing and presentation. Possess good analytical and critical thinking skills. Shows good initiative and takes ownership of work undertaken. Project management skills, including planning and execution of medtech / healthtech engineering and implementation projects. Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets. Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model. Capability in medtech / healthtech engineering, including requirements translation, prototyping, testing, validation, integration, technical troubleshooting and preparation of concise reports. Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation. Ability to work as part of a coordinated delivery team, with clear documentation of assigned engineering outputs, validation evidence and project outcomes toward the overall KPI commitments.
Salary
Competitive
Posted
27 May 2026
Assistant Professor / Associate Professor / Professor in Robotics and Embodied AI
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is expanding its Robotics and Embodied AI (EAI) capabilities, building a cohort of academic staff who are keen and experienced working on industry problems in relevant areas. At SIT, Robotics and Embodied AI faculty will have the opportunity to shape and lead applied research in a unique real-world environment. Located within Punggol Digital District (PDD), SIT’s purpose-built campus serves as a living lab for precinct-scale robotics test-bedding, where faculty can work with government and industry partners to develop, validate and deploy next-generation robotic systems safely and at scale. Candidates will contribute to industry-relevant research in embodied AI, simulation and digital twins, cybersecurity, robot operations and related areas, with a strong emphasis on translation into real-world applications. Through collaborations with leading robot companies and end-users, faculty will help solve practical deployment challenges, build shared digital infrastructure, and train the next generation of robotics talent for Singapore’s future economy. Responsibilities: Lead and contribute to applied research projects with industry partners and government agencies. Develop and teach Robotics and Embodied AI courses within the cluster’s programmes and across relevant interdisciplinary modules. Supervise Industry Doctorate/Masters and capstone projects in collaboration with domain faculty and industry partners. Contribute to SIT’s continuing education offerings. Serve as embodied AI mentor for existing SIT domain faculty through joint projects and co-supervision mechanisms. Qualifications: PhD in Robotics, Mechanical/Electronics Engineering, Computer Science, or a relevant domain with demonstrated embodied AI research experience. Equivalent industry experience may also be considered. Technical expertise and track record in the following areas (ideally at least two): Policy Learning and Robotics Control: Imitation / reinforcement learning, generative policies, residual learning, cross-embodiment generalisation. Robotics Data Engineering: Data capture, synchronisation, calibration, evaluation harnesses and simulation data pipelines Foundation Models & World Models for Robotics: VLA grounding, planning interfaces and world-model reasoning for robots State Estimation, Perception and Sensor Fusion: 3D scene understanding, diagnostics, active and manipulation-centric perception System Integration, Deployment & RobotOps: ROS2 systems integration, runtime robustness, safety and field deployment engineering Swarm Robotics & Multi-Agent Systems: Decentralised coordination, shared mapping and resilient communications Fleet Management & Remote Operations: Mission control, tele-operation, network resilience and lifecycle operations Cyber-Physical Security & Trustworthy Robotics: Threat modelling, resilience, incident response, AI ethics and data privacy Experience applying embodied AI to real-world use areas will be advantageous, such as (non-exhaustive): Facility Management Healthcare Advanced Manufacturing Urban Systems Biotechnology & Chemical Engineering Demonstrated leadership and evidence of working on industry/society-defined problems Strong connections with international partners and organisations will be advantageous. Experience with industry research collaborations, applied research grants, and/or system deployment Established thought leadership and/or professional standing e.g. publications in top journals and keynotes, in addition to non-publication outputs and impact such as open-source tools, technical reports, patents, deployed systems Demonstrated track record of cross-disciplinary collaborations Ability to communicate clearly with domain experts, industry practitioners and general public What SIT offers: An applied research environment, working together with industry partners, to tackle real-world problems SIT values applied research impact and evaluates faculty accordingly on how their research had made a difference to society or industry Opportunities to work on a coherent robotics & embodied AI research agenda with colleagues across disciplines Access to Punggol Digital District ecosystem as testbeds for applied research A meaningful role in building Singapore’s robotics & embodied AI research capability at a pivotal moment Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub How to apply: Candidates should submit the following: Curriculum vitae including grants, outputs (code, datasets, patents, technical disclosures) and publications Cover Letter Research statement (up to 2 pages) addressing your applied AI research programme, how it connects to SIT’s cluster context, and your experience with industry-connected research Teaching statement (up to 1 page) addressing your approach to applied learning Three highlights of research outputs with a brief explanation of each output’s impact
Salary
Competitive
Posted
27 May 2026
IWRI - Postdoctoral Position in Hybrid Machine Learning – Physics Modeling
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
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.
Salary
Competitive
Posted
27 May 2026