Faculdade de Ciencias Médicas Santa Casa de Sao Paulo

The Role and the Department A newly created role within the University Finance Team, for a Senior FP&A Manager, responsible for the timely preparation of Budgets and Forecasts at a Consolidated level, covering Income and Expenditure, Balance Sheet and Cashflow Reporting. Prerequisites of the role include forecasting accuracy through robust processes which evaluate and appraise key management information and ensuring data integrity. This position is key to delivering Financial Insight through visual representation and supporting the Universities long term financial ambition of delivering self-serving stakeholder solutions. The role sits within the Financial, Planning and Reporting (FP&R) Team, reporting into the Head of FP&A and working alongside the Reporting Manager and Reporting Analyst, who will provide essential guidance and support to achieve set objectives. Critically, attention will be given to Balance Sheet and Cashflow scenario planning through sensitivity drivers to mitigate financial risk. Other duties will include the execution of improved financial processes, management of the FP&R Calendar and associated tasks with targeted deadlines, analytical solutions, standardising university wide financial templates and stakeholder engagement. This is a role that will realise financial creativity through enhanced financial insight to aid decision making. The Senior FP&A Manager is a collaborative role with touch points across all Finance disciplines; the role is challenging yet rewarding and an opportunity to create best in practice financial solutions. Culturally, the Finance team benefits from a hybrid working model (40% office based per week) with flexible working arrangements that promotes employee well-being and work life balance in a centre for excellence. The base location for this role is Boldon House, our exciting professional services hub. Boldon House is situated on the outskirts of Durham near the Arnison Centre in Pity Me. Boldon House brings together a range of professional service teams together in a modern, vibrant office environment. To find out more, visit the project webpage:. Further information about the role and the responsibilities is at the bottom of this job description.

Postdoctoral Researcher in Socially Aware Autonomy: Pedestrian Intention Prediction, Communication, and Real-Time Risk Estimation Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 16 000 students and 5 200 employees, including 446 professors. Our campus is in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Electrical Engineering and Automation is now inviting applications for a Postdoctoral Researcher in Socially Aware Autonomy: Pedestrian Intention Prediction, Communication, and Real-Time Risk Estimation The project advances predictive, human-aware autonomy for industrial vehicles and robots operating among people. The focus includes predicting pedestrian intentions, communicating machine actions, and estimating/mitigating risk in real time—toward safer, smoother interactions in urban and industrial environments. Results are disseminated through publications, demos, and stakeholder events. The work will be conducted within the Mobile Robotics Group at the Department of Electrical Engineering and Automation in the School of Electrical Engineering in Aalto University, Finland. Supervision and collaboration of the project are by Assistant Professor Tomasz Kucner and Professor Simo Särkkä. Role and responsibilities Lead the research thread on socially aware autonomous systems, including: Pedestrian intention prediction and trajectory forecasting Human–machine communication and action legibility Real-time risk estimation and proactive safety behavior Integrate perception and prediction with robust, energy-/communication-efficient sensor fusion and distributed computation where applicable (in collaboration with the Sensor Informatics and Medical Technology Group). Deliver high-quality publications, codebases, and demos aligned with the project’s milestones and dissemination plan. Contribute to the translation of research outcomes into industrially relevant prototypes for logistics/ports and mining/tunneling use cases. Qualifications PhD in robotics, computer science, electrical engineering, or related field. Demonstrated expertise in socially aware autonomy, human intention prediction, and/or real-time risk assessment for human–robot or vehicle–pedestrian interaction. Strong background in machine learning and/or probabilistic modeling for motion prediction; experience with temporal deep models and multimodal perception is a plus. Experience deploying models in real-time systems or on edge devices is advantageous. Strong publication record and collaborative skills; ability to coordinate with academic/industry partners and contribute to project deliverables. What we offer Engagement with a leading team in robust estimation and predictive autonomy. Collaboration with international partners with options for targeted research exchanges. Direct impact in safety-critical industrial domains through close collaboration with industry stakeholders. The Postdoctoral Researcher position will be filled for 2,5 years with an option to extend. The starting salary for Postdoctoral Researcher is approximately 4100 €/month. The contract includes occupational health care benefits and Finland has a comprehensive social security system. The starting date is June 2026, or as mutually agreed. How to apply Please submit your application through our online recruitment system. To access the recruitment system, please use the “Apply now!” link below. Please include the following attachments (in English): CV and publication list Cover letter outlining relevant experience in socially aware autonomy, intention prediction, and real-time risk estimation, and how you would finalize/extend the existing line of work Transcripts and degree certificates 2–3 representative publications Contact information for 2–3 references Links to code repositories or demos (optional) Note! Our recruitment system allows maximum of 5 attachments (max. size 5 MB), so please combine the attachments in PDF as necessary. The application deadline is 7.6.2026. Review of applications will begin immediately, and the position will be filled as soon as suitable candidate is identified, possibly already during the application period. Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions. For further information about the available position, please contact Professor Tomasz Kucner (tomasz.kucner@aalto.fi). In application process related questions, please contact HR Advisor Johanna Haapalainen (hr-elec@aalto.fi) Want to know more about us and your future colleagues? You can watch these videos: This is Aalto University! Aalto University – Towards a better world and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto Check out our new virtual campus experience: https://virtualtour.aalto.fi About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was listed again as the happiest country in the world: World Happiness Report 2025 For more information about living in Finland: Aalto Careers for International Staff. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

Full-Time, Continuing position Melbourne (Bundoora) location Classification: Level D - Base salary from $172,864 + 17% superannuation Hybrid work model supported About the position Reporting to the Dean, the Director, MBA leads the academic, strategic, and operational direction of the La Trobe AI MBA, ensuring it remains rigorous, market-leading, and responsive to advances in the contemporary business environment. This role engages proactively with industry and internal and external stakeholders to ensure leading edge curriculum and alignment with industry needs. The role works across departments and university teams to deliver an excellent student experience and employability outcomes, enrolment growth, and a strong external reputation through rankings and accreditation. Skills and Experience The ideal candidate for this position will possess a PhD or equivalent standing in a relevant field or have extensive senior-level professional experience, with a proven track record of leadership. They should demonstrate excellence and innovation in learning and teaching, including course design, quality assurance, and continuous improvement, as well as the ability to inspire and guide academic teams in a collaborative environment. A strong grasp of modern business practices—particularly digital transformation, AI-powered decision-making, and responsible leadership—is essential, alongside demonstrated success in engaging with industry, professional bodies, and external stakeholders. Exceptional communication, organisational, and stakeholder management skills are also required. Please refer to the Position Description for other duties, skills and experience required for this position.  PD-Director MBA.pdf We’d love to stay connected! If you would like to find out more about this School, please follow us on LinkedIn: La Trobe Business School: https://www.linkedin.com/company/28386791 Benefits 17% superannuation Private Health Insurance discount Plus many more, click HERE How to apply Closing Date: By 5.00pm on Friday, 29 May 2026 Position Enquiries: Suzanne O’Keefe - Dean, La Trobe Business School Email: s.okeefe@latrobe.edu.au Recruitment Enquiries: Recruitment@latrobe.edu.au Please submit an online application ONLY and include the following documents: An up-to-date resume; and Cover letter; and Responses to all Essential Criteria in a separate Word document Only candidates with Full Working Rights in Australia may apply for this position. Aboriginal and Torres Strait Islander Applicants We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people. Our commitment to diversity and inclusion La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates. Our commitment to safety All La Trobe University employees are bound by the Working with Children Act 2005. If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement. National Code on Gender Based Violence in Higher Education La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability. Gender-based violence means any form of physical or non-physical violence, harassment, abuse or threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation liberty or autonomy.