Federal University of Rio de Janeiro

Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Professional Officer in Applied Artificial Intelligence (AI) 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 – attuning them to the needs and demands of the future economy. 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 AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems across sectors. Focus areas for applied AI include domains such as: Advanced Manufacturing & Semiconductors Urban Systems AI-Augmented Engineering AI Safety & Security Chemical Engineering & Biotechnology Hospitality and Tourism Healthcare Responsibilities: Design, develop, and teach laboratory sessions and practice-based modules in Applied AI and 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 AI 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 degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application. Equivalent industry experience may also be considered. At least 8 years of 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: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks (PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated experience applying AI to the SIT’s focus areas Experience in one or more of the following areas will be advantageous: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit-learn, CNTK, big data technologies such as Apache Hadoop and Spark, and DevOps/MLOps. Strong foundation in data structures, data modelling, and software architecture, with programming proficiency in Python, R, Java, and/or C/C++. Good grounding in mathematics, including probability, statistics, and algorithms. 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 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. 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. What SIT offers: An applied research environment to tackle real-world problems together with industry partners Opportunities to shape a coherent applied AI research agenda with colleagues across disciplines and build Singapore’s applied AI research capability at a pivotal moment Access to SIT’s Living Lab Network and Punggol Digital District ecosystem as testbeds Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub

Part-time (0.8 FTE), 12-month fixed-term opportunity Be part of a pioneering research environment where your health economics expertise will directly shape innovative musculoskeletal research and contribute to improving health outcomes through evidence-based impact at the Sydney Musculoskeletal Research Centre, based at the Charles Perkins Centre Base Salary $103,185 (pro-rata) + 17% superannuation About the opportunity Join the Sydney Musculoskeletal Research Centre (SydneyMSK) as a Health Economist and play a key role in establishing and delivering SydneyMSK's Health Economics Support Hub. Working closely with the Centre Director, Prof Mandy Nikpour, Centre Manager, Stephanie Beshara, and senior academic leaders, including Dr Marina Pinheiro, you will help embed health economic thinking across musculoskeletal research by providing operational, technical, and project support to researchers seeking to incorporate economic evaluation into their work. This is an exciting opportunity to contribute to a growing centre of research excellence, supporting the coordination of Hub services, connecting researchers with specialist expertise across the University and external partners, and helping deliver practical guidance on health economic approaches. You will also contribute to seminars, workshops, shared resources, and continuous improvement initiatives that strengthen health economics capability across SydneyMSK. Working under general direction, you will apply your technical expertise, sound judgement, and collaborative approach to deliver high-quality outcomes while contributing to a multidisciplinary and inclusive research environment. Your key responsibilities will be to: Support the establishment and day-to-day delivery of the Health Economics Support Hub, working closely with senior academic leaders to embed high-quality health economics support across musculoskeletal research. Provide practical guidance to researchers on health economic considerations, including study design, data collection approaches, and basic economic analysis within scope of practice. Facilitate connections between researchers and relevant health economics expertise across the University of Sydney and external partner organisations to strengthen research capability and collaboration. Coordinate and deliver capacity-building initiatives, including seminars, workshops, and resource development to enhance understanding and application of health economics principles. Contribute to the development, maintenance, and continuous improvement of shared tools, resources, and reporting processes that support economic evaluation and service delivery. Build effective relationships with internal and external stakeholders while contributing to collaborative research activities, outputs, and an inclusive team culture. About you Tertiary qualifications (Bachelor's degree or equivalent) in a relevant field, ideally in MSK or public health, with an equivalent combination of relevant training and experience. Demonstrated experience in health economics, health services research, biostatistics, or a related discipline, with knowledge of health economics methodologies such as economic evaluation, economic modelling, discrete choice experiments, and quality of life research. Demonstrated track record of grant applications, peer reviewed publications and/or policy-relevant report in health economics, or a related area Experience with data linkage projects to evaluate healthcare resource use and costs Strong project coordination skills, with the ability to manage competing priorities, monitor budgets and expenditure, maintain accurate records, and deliver outcomes with a high level of organisation and attention to detail. Proven experience supporting research or health-related projects and working collaboratively with diverse stakeholders across academic, healthcare, or partner organisations. Excellent written, verbal, and numerical skills, with the ability to communicate technical concepts clearly to both specialist and non-specialist audiences, alongside strong proficiency in the Microsoft Office suite. Thrive in a multidisciplinary environment, bringing a collaborative mindset, the ability to work both independently and as part of a team, and a commitment to contributing to broader research initiatives and an inclusive team culture. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Roshik Prasad, Recruitment Operations by email to roshik.prasad@sydney.edu.au © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Tuesday 16 June 2026 11:59 PM

The Centre for Psychosocial Research in Cancer (CentRIC) is seeking an outstanding individual to join our team and contribute to increasing the impact of our research programme. CentRIC is a world-leading centre dedicated to transforming how people affected by cancer are supported. Our research focuses on understanding the psychosocial impact of cancer on everyday life and developing and testing innovative solutions that help people live well. We work closely with people affected by cancer, healthcare professionals, commissioners, policy makers and charities, ensuring that their insights guide the development of patient-centred care. Our research involves people at increased genetic risk of cancer, those living with and beyond cancer, caregivers and healthcare professionals. The post-holder will support the delivery of an ESRC Impact Acceleration project under the supervision of Professor Claire Foster, Co-Director, and members of the research team. The team have worked with patients, healthcare professionals, subject experts and charities to co-design Lynch Choices, a publicly available website designed for people with Lynch Syndrome to help them make decisions about their cancer risk management (funded by Cancer Research UK). Key activities will include working with a wide range of stakeholders to support updates to Lynch Choices to ensure it is up to date with the latest evidence and appealing to a wide audience, wide dissemination strategy to support inclusion and use of Lynch Choices and gathering evidence of impact.  Core responsibilities will include engaging with stakeholders, including patients, health professionals and charities, developing recruitment processes, collecting data through interviews, stakeholder groups and surveys, and undertake quantitative and qualitative analysis to support refinements to Lynch Choices, wide implementation of Lynch Choices, report both usage and impact data. Additional responsibilities include ethics applications, grant development, report writing, publications and dissemination through presentations to a range of audiences (including patients, health professionals and charities). You will have excellent communication skills and substantial experience of working with a range of stakeholders to support inclusion and implementation of digital technologies in health/social care settings. You will have both qualitative research skills and experience of survey design and analysis (SPSS and Qualtrics). Excellent academic writing skills are essential, as is the ability to present to both specialist and non-specialist audiences to support knowledge exchange and pathways to impact. Experience of working with a range of stakeholders is essential - including patients as research partners, healthcare professionals and charities. Effective collaboration is essential, both within the CentRIC team - which includes researchers, administrative staff and web developers - and with external partners and members of the public/service users. The post is based within the School of Health Sciences at one of the UK’s leading research universities, which offers excellent facilities and is recognised for its world-class academic staff and strong national and international reputation. This post is offered at 0.3FTE FTE for one year commencing 1 July 2026. Applicants should have a Formal qualification(s) equivalent to Level 8 of the Regulated Qualifications Framework e.g. PhD in Health Sciences or Level 8 award, certificate, diploma. A standard DBS check is required. Applicants are encouraged to contact Professor Claire Foster at C.L.Foster@soton.ac.uk to discuss the position