Purdue University – Mitchell E. Daniels, Jr. School of Management

Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term About the Project The SIT x NVIDIA AI Centre (SNAIC) at the Singapore Institute of Technology (SIT) is seeking a highly motivated Research Fellow/Engineer to join a strategic collaboration with Procter & Gamble (P&G). This project aims to develop next-generation AI technologies for concept-driven video understanding from consumer-recorded facial care videos. Unlike conventional action recognition, the research focuses on understanding high-level semantic concepts, behavioural patterns, product usage, and skincare routines through advanced Vision AI, Multimodal AI, and Foundation Models. The successful candidate will work closely with researchers from SNAIC, NVIDIA, and P&G to develop novel AI methodologies with direct industrial impact. Responsibilities The successful candidate will: Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI. Design AI models for concept-driven video understanding of consumer facial care behaviours. Work with PI and company to develop the AI solution Develop novel algorithms for: Fine-grained video understanding Concept learning Temporal reasoning Vision-Language Models (VLMs) Multimodal representation learning Self-supervised and weakly supervised learning Fine-tune and adapt Foundation Models and Vision-Language Models for domain-specific applications. Build end-to-end AI pipelines for video analytics and deployment. Work with industrial datasets and collaborate with domain experts from P&G. Publish research findings in top-tier AI conferences and journals. Mentor graduate students and support research activities within SNAIC. Required Qualifications Applicants should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep Learning Video Understanding Multimodal AI Excellent programming skills in Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image or video analysis.

Role type: Full Time (1.0 FTE); Fixed-term for 2 years Faculty: Faculty of Science Department/ School: BioSciences Salary: Level A: $87,266 - $118,416 AUD p.a. plus 17% super Join our interdisciplinary team and shape the future of endometrial biology and diagnostics through advanced spatial genomics. International collaboration with strong computational training and impact. Investing in you - 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website. Your next career opportunity You will lead computational analyses of single-cell and spatial transcriptomics data in abnormal uterine bleeding research. You will collaborate closely with US-based clinicians and experimentalists to translate discoveries into potential therapeutic and diagnostic targets. You will have the opportunity to build your academic track record within a supportive, high-performing School of BioSciences environment. What you will deliver: Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium. Develop reproducible, version-controlled pipelines and notebooks in R and/or Python for high-performance computing environments. Coordinate data generation with clinical and experimental partners, including study design, batch allocation and result interpretation. Prepare high-quality figures, reports, manuscripts and funder outputs, and present findings at seminars and conferences. Contribute to student supervision, mentoring and School activities that support diversity, inclusion and public engagement. You may be a great fit if you: Hold a completed or near-completed PhD in computational biology, computer science, engineering, data science or related discipline. Demonstrate experience analysing sequencing data, including single-cell RNA-seq and preferably spatial transcriptomics workflows. Use R and/or Python for high-dimensional statistical modelling with tools such as Seurat, Scanpy or DESeq2. Apply version control and reproducible workflows to build well-documented pipelines and shareable analysis repositories. Evidence strong research productivity through publications, preprints or open-source software, aligned with career stage and opportunity. Bring enthusiasm for reproductive and women's health and ambition to build an academic research career trajectory. For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including: Build future financial security with 17% superannuation Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - The School of BioSciences You will join the School of BioSciences within the Faculty of Science, a globally recognised research community. Our scientists explore life from molecules to ecosystems, tackling challenges from disease to biodiversity loss. You will collaborate across disciplines, benefit from strong mentoring and access world-class facilities and international partners. We value curiosity, excellence, impact and integrity, and foster an inclusive environment where diverse perspectives thrive. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au. Application essentials: Visit "apply with us" to learn more about the process, including tips and FAQs. This role is eligible for visa sponsorship and we welcome international applicants. If successful, we will support you through this process. A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you. Please upload your resume and a cover letter outlining your interest and experience as part of the application process. Please upload your responses to the Selection Criteria, found in the Position Description. Want to know more? For queries related to this specific position, contact Brittany Goods at britt.goods@unimelb.edu.au For questions related to our recruitment process email Oliver Bukasa at hr-careers@unimelb.edu.au For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments'). Apply today, and join a community that's shaping the future. Applications close: 14 August 2026 at 11:55 PM; Melbourne time zone. Position Description: JR-014394 - Research Fellow in Spatial Transcriptomics - PD.docx JR-014394 - Research Fellow in Spatial Transcriptomics - PD.pdf

Based in College of Engineering, Information and Technology at the Adelaide CBD Campus  Part-time (0.8FTE), 24-month fixed term contract  Salary Range: $103,962 - $111,384 per annum (pro-rata) (plus 17% superannuation)  At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow.  Work that matters This is an exciting opportunity to contribute to innovative, interdisciplinary research focused on generating trustworthy evidence and high-quality recommendations that inform policy, practice, and decision-making. Our team is undertaking research at the forefront of renewable energy transitions, exploring how emerging technologies, urban environments and climate challenges intersect to shape the future of sustainable energy systems. Through innovative modelling, data analysis and interdisciplinary approaches, our work investigates pathways to improve the resilience, efficiency and long-term sustainability of solar energy deployment. In this role, you will contribute to research examining the economic, environmental and technical performance of solar photovoltaic and other renewable-energy technologies across diverse urban contexts. You will apply advanced modelling approaches, including integrated assessment modelling, material-flow analysis and life-cycle assessment, while developing robust and reproducible workflows using large and complex datasets. This opportunity is ideal for an emerging researcher with strong quantitative skills, a passion for addressing climate and energy challenges, and an interest in applying interdisciplinary methods to deliver meaningful insights that support resilient and sustainable energy futures.  The team  This role will report to Associate Professor Dr Ruidong Chang and sit within the School of Civil Engineering and Construction, in the College of Engineering and Information Technology. This role will have several stakeholder relationships, including the wider research team, internal and external stakeholders both nationally and internationally, as well as academic and professional staff across the University. Visit the AU website to learn more about the College of Engineering and Information Technology  Our people    Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence.  We are a dynamic and collaborative team working on nationally and internationally significant projects that address complex and impactful health questions.  Learn more about our people, what we stand for and what we offer at Careers at AU.  Experience   To join our community and thrive in this role, you will have the following skills and experience:   A PhD in environmental economics, energy economics, resource economics, human geography, industrial ecology, or other related fields.  The ability to evaluate the economic performance of solar photovoltaic and other renewable-energy technologies across alternative urban deployment pathways.  Experience analysing urban solar PV deployment in relation to critical-material demand, technology choice and end-of-life management.   Experience in integrated assessment modelling, material-flow analysis, life-cycle assessment or related methods.  Experience investigating the relationships between climate and weather hazards, the vulnerability of solar-energy infrastructure and wider energy-system reliability. The ability to assess how extreme events and longer-term climatic changes affect solar electricity generation, infrastructure reliability, power disruptions and energy demand.  Advanced quantitative programming and data-analysis skills, preferably in Python, together with the ability to develop transparent, robust and reproducible modelling workflows.  Experience working with large and heterogeneous datasets, which may include climate projections, electricity-infrastructure records, solar-resource data, energy-demand data, urban geospatial data, economic input–output tables, and technology or material databases.  Our commitment to inclusion and diversity   We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process.    Launch your future with Adelaide University now   Applying is simple. Simply click on the Apply Now button and upload:   your current CV   a cover letter that tells us why you’re excited about the role   The online application form will list the specific selection criteria that you need to address.   Submit your application by 11:30pm Sunday 16 August 2026.  Please note that the role description is not attached to this advertisement as it is currently being finalised.  The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.   For further information about this opportunity, please contact (quoting reference number 493219): Amra Delibasic  Talent Acquisition Adviser – Talent Acquisition  People and Culture  +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au