Faculdade Evolutivo
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Research Fellow/Engineer (AI on Video Analytics) - DW
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
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.
Salary
Competitive
Posted
15 Jul 2026
Student Hub Team Leader
University of Southampton
United Kingdom, Southampton
University of Southampton
United Kingdom, Southampton
About the Student Hub The Student Hub is the University of Southampton’s front-line student support service and the first point of contact for students throughout their university journey. We provide information, advice, and guidance on a wide range of student matters, taking ownership of enquiries and delivering accurate, timely, and consistent support through face-to-face, telephone, and digital channels. Operating across multiple campus locations, the Student Hub supports key student processes from enrolment through to graduation. Our goal is to make it easy for students to access the help they need, enabling them to focus on their studies and make the most of their university experience. About the Role We are seeking an enthusiastic and motivated Student Hub Team Leader to support the day-to-day delivery of a high-quality, student-centred service. This is a full-time, permanent position working a shift pattern of 12:00 pm to 8:00 pm, Monday to Friday. The role is campus-based and requires travel between Student Hub locations in Southampton and Winchester School of Art. About You You will be an experienced leader with a passion for delivering excellent customer service and enhancing the student experience. You will have the ability to lead, motivate, and develop a high-performing team in a busy, customer-focused environment. You will be a confident communicator who can build strong relationships with a wide range of stakeholders and work collaboratively to improve services and achieve positive outcomes. With strong organisational and problem-solving skills, you will be able to manage competing priorities, make informed decisions, and respond effectively to complex issues. Experience of working in a customer-facing, multi-channel service environment is essential. You will be comfortable using data and feedback to monitor performance, identify opportunities for improvement, and drive service excellence. Above all, you will be proactive, resilient, and committed to continuous improvement, with a strong focus on delivering an outstanding experience for students. About Us The Student Hub is the first point of contact for students seeking support throughout their studies. Their questions matter, and we are here to provide advice, guidance, and reassurance at every stage of their journey with the University of Southampton. No issue is too big and no question is too small. Thank you for your interest in joining the Student Hub Team. Additional Information This is a full-time, permanent role based across Southampton campuses and Winchester School of Art. For an informal discussion about the position, please contact Lilly.Cooper@soton.ac.uk.
Salary
£36,636 to £44,746
Posted
15 Jul 2026
Lecturer / Senior Lecturer in Mathematical Data Science
The University of Melbourne
Australia
The University of Melbourne
Australia
Role type: Continuing, Full-time (Tenure)Faculty: Faculty of Science School: School of Mathematics and Statistics Salary:Level B - AUD $124,656 - $148,023 p.a. orLevel C - AUD $152,695 - $176,065 p.a.plus 17% super (retirement savings system/pension scheme)Expand expertise in mathematics and statistics in a leading research intensive school / Shape data driven and foundational methods with real world impact / Collaborate both within and across disciplinesJoin us to advance mathematics and statistics research, inspire students, and help grow a world-class academic community.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 As a Lecturer or Senior Lecturer in Mathematical Data Science, you will drive an independent, high quality research programme. You will contribute to innovative curriculum and teaching across undergraduate and MSc programs and supervise research students. You will have opportunities to collaborate with leading researchers across disciplines, both within mathematics and statistics and outside of the school. What you will deliver:Conduct independent research, disseminate results in leading outlets, and contribute actively to research seminars and conferences.Seek and secure external research funding, and supervise MSc and PhD students within an inclusive, supportive research environment.Prepare, deliver, and assess undergraduate and postgraduate subjects, including curriculum development and effective use of modern technologies.Provide academic mentoring, oversee coursework study programmes, and lead education for diverse student groups.Provide leadership and service to the school, university, and the discipline.You may be a great fit if you:Hold a PhD or equivalent research higher degree in mathematics, statistics, or a closely related discipline.Demonstrate research excellence through strong publications and an emerging or established international reputation, relative to opportunity.Show capacity to strengthen the school's research and education activities and broaden existing thematic strengths.Build productive research collaborations and attract competitive funding through national or international grant or contract schemes.Design and teach subjects at undergraduate and postgraduate levels, with clear evidence of supervision potential.Contribute collegially to a large school, including leadership and service , professional activity, and engagement with diverse communities.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% superannuationSupportive flexible work arrangements underpinned by our commitment to inclusion and well-beingCareer development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn LearningProgressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leaveSalary 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 CompanyHealth and well-being services including a leading Employee Assistance ProgramFor more information check out our benefits page! Your new team - School of Mathematics and Statistics The School of Mathematics and Statistics is among Australia's foremost centres for mathematical sciences, recognised for outstanding research and teaching. Its large academic community spans continuing, research-only, and specialist staff, supported by strong infrastructure and competitive external grants. The School hosts ARC-funded centres and fellows and maintains active collaborations worldwide. Within the Faculty of Science, you will join a broad scientific community tackling questions from fundamental theory to pressing global challenges. http://www.ms.unimelb.edu.au 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 or for questions related to our recruitment process email Lachlan Bryce at hr-careers@unimelb.edu.auFor 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: Sunday 16th of August, 11:55 PM; Melbourne time zone.Position Description:JR-013580 Lecturer_Senior Lecturer in Mathematical Data Science_PD.docxJR-013580 Lecturer_Senior Lecturer in Mathematical Data Science_PD.pdf
Salary
super 17%
Posted
15 Jul 2026
Assistant Professor (Tenure Track) / Professor of Energy Technology
University of Zurich
Switzerland
University of Zurich
Switzerland
The Department of Mechanical and Process Engineering (D-MAVT; www.mavt.ethz.ch) at ETH Zurich invites applications for the above-mentioned position at the tenure-track assistant professor or associate/full professor level. The new professor will contribute to D-MAVT’s global reputation by performing original and relevant research in the field of energy conversion and storage across scales, driven by fundamental challenges and with the aim of resulting in technologies for societally relevant applications. She/he is expected to establish an experimental program focused on scalable technologies to convert and/or store energy. Decarbonizing our energy system calls for new versatile technologies for converting and storing different forms of energy. The development of these technologies requires significant advances at the fundamental level. Translating these advances into cost-efficient and sustainable technologies at a global scale requires a pragmatic and visionary engineering approach. The research activities of the new professor should therefore be situated within the broad area of energy conversion and storage. Examples of potential areas include, but are not limited to, synthetic fuels, CO2 capture and conversion, power-to-x technologies, and renewable energy systems. Successful candidates should showcase the ability to turn fundamental advances into innovative practical technologies. They should also exhibit the capacity to evolve their research activities over the course of their career, supported by a solid foundation in fundamental principles of mechanical and process engineering. Successful candidates should hold a PhD or equivalent in engineering or a related field and have an outstanding international track record of accomplishments in the fields outlined above, either in academia or industry. Depending on the level of appointment, they are expected to teach Master’s-level courses related to energy conversion and storage, as well as the underlying fundamentals in mechanical and process engineering on the Bachelor level, such as thermodynamics. In general, at ETH Zurich, undergraduate-level courses are taught in German or English, and graduate-level courses are taught in English. The ability to build and lead a successful research group is expected. Assistant professorships have been established to promote the careers of early-career scientists. ETH Zurich implements a tenure track system equivalent to that of other top international universities. The level of the appointment will depend on the successful candidate's qualifications. ETH Zurich provides globally competitive salaries, substantial research funding, ample start-up resources, and a world-class research infrastructure. In Switzerland, academics benefit from numerous research funding opportunities and an exceptionally high quality of life. Furthermore, ETH Zurich is an equal opportunity and family-friendly employer, values diversity, and is responsive to the needs of dual-career couples. Please apply online: www.facultyaffairs.ethz.ch Applications should include a covering letter; a curriculum vitae; a list of publications; a list of projects; three statements on a) research, b) teaching, c) leadership; three key publications; descriptions of the three most important achievements; and a certificate of the highest degree. Please note that the covering letter should be formally addressed to the President of ETH Zurich, Prof. Dr. Joël Mesot. The closing date for applications is 30 September 2026.
Salary
Competitive
Posted
14 Jul 2026
Research Fellow in Spatial Transcriptomics
The University of Melbourne
Australia
The University of Melbourne
Australia
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
Salary
$87,266 - $118,416 p.a. plus 17% super
Posted
14 Jul 2026