California Institute of Technology

Full time, continuing position within the Advanced Analytics, Planning and Enterprise Data team Lead the delivery of targeted insights to shape strategy, improve outcomes and transform the end-to-end student experience. Offering a competitive remuneration package including 17% superannuation About the opportunity The University is seeking a Head of Student Insights and Analytics to set strategic direction and embed an insight led culture across portfolios and faculties, aligned to modern insights and analytics practices. Leading a team of analytics specialists, you will drive operational excellence, uplifting platforms, pipelines, reporting and visualisation for scalable, self service access, while translating insights into action through clear adoption pathways, measurable outcomes and continuous improvement. This role is ideal for an Insights and Analytics leader with extensive experience in proactively scanning sector trends and market dynamics. The Head of Student Insights and Analytics defines and leads the University's institution wide insights capability, defining how evidence, data and intelligence are used to shape strategy, improve outcomes and transform the end-to-end student experience. Your key responsibilities will be to: proactively monitor emerging trends in higher education, student behaviour, market dynamics and market positioning ensure the University remains ahead of sector shifts and is equipped to respond to emerging risks and opportunities work closely with and advise members of the University Executive as well as other senior leaders understand the requirements of each business area, translate complex analytical concepts into clear, actionable business insights, and promote the strategic value of data driven decision making. act as an insights thought leader for the University by monitoring emerging trends in market research, analytics, student experience intelligence and data technologies lead activities that strengthen the organisation's capacity to deliver insights at scale. About you working experience in a senior leadership role within an Analytics and Planning function within a large and multi-faceted organisation (tertiary sector and institutional knowledge is advantageous) successful leadership and management of a high-performing team of analytics specialists with the ability to uplift capability, and build a culture of innovation, service excellence and collaboration proven experience in identifying opportunities for innovation, championing modern market research and analytical practices, and ensuring the institution is equipped to leverage data demonstrated capability in leading the uplift of reporting and visualisation practices across the institution, ensuring insights are delivered through modern, intuitive, consistent and scalable reporting channels able to operate with a high degree of tact and professionalism across all levels of diverse internal and external environments outstanding presentation, communication and influencing skills to drive key messaging and actionable insights across varied and diverse audiences. 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 Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. 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 Nayomi Siriwardane, Recruitment Operations by email to nayomi.siriwardane@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 Friday 22 May 2026 11:59 PM

Faculty of Applied Sciences, Engineering Research Centre of Applied Technology on Machine Translation and Artificial Intelligence, Ministry of Education Recruitment of Full-time Academic Staff Macao Polytechnic University (MPU) is a comprehensive and public university distinguished by high standard of scholarship in both teaching and applied research. Through the all-rounded scheme for cultivation of professionals, bachelor, master's and doctoral degree programmes are offered in different fields so as to nurture high-quality professionals with global vision. According to the approval by the Administrative Board, and the Teaching Staff Charter of Macao Polytechnic University in force, applications are invited through open recruitment for full-time academic staff. Full-time Lecturer in the area of Artificial Intelligence / Big Health 8 Vacancies (Ref. 2526-FCA-009) Job Duties: Applicants shall perform the duties as stipulated in Article No. 5 and Paragraph No. 1 of Article No. 8 in the Teaching Staff Charter of Macao Polytechnic University in force and be able to teach Advanced Topics in Intelligent Rehabilitation Therapy, Data Analytics , Applied Machine Learning, Project Report, etc. (taught in English). Qualifications: Applicants must be Macao residents and possess a Master’s Degree or an Integrated Doctoral Degree without granting a master’s degree in a field related to Artificial Intelligence / Big Health. Closing Date for Application: 26/05/2026 17:45 Salary and Fringe Benefits: The salary index of Associate Professor ranges from 540 to 760 (1 index point = MOP94), with pre-tax annual salary from MOP710,640 to MOP1,000,160 (USD1 approx. = MOP8). The salary index of Lecturer ranges from 430 to 640, with pre-tax annual salary from MOP565,880 to MOP842,240. The salary scale will be determined in accordance with the appointee’s academic qualifications, tertiary teaching experience and/or relevant professional experience. The appointee will be entitled to the welfare and benefits, including provident fund, medical benefits, housing allowance, and family subsidies, as stipulated in the Personnel Charter of Macao Polytechnic University in force. Please browse the MPU recruitment webpage for details of Notice for above Full-time Academic Staff Recruitment http://mpu.mo/recruitment, applicants should submit their applications with the required documents specified in the Notice for Full-time Academic Staff Recruitment on the MPU recruitment webpage (http://mpu.mo/recruitment), or submit the applications in person to the Personnel Office, Macao Polytechnic University, Rua Luis Gonzaga Gomes, Macao, China. Applications by post and email will not be accepted. For enquiries: Tel: +853-8599 6109 / 8599 6104 / 8599 6125 Email: recruit_staff@mpu.edu.mo

Department: School of Engineering Grade: 6/7 (£33,020 - £41,086 per annum) Responsible to: Principal Investigator Campus: Belfast Reference: 042307 (Full-Time, Fixed term for 24 months) - ABOUT US - We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge transfer. - THE ROLE - The Research Associate will contribute to the investigation and characterisation of advanced two-dimensional materials within the framework of the MF-OL--KPFM methodology. The role focuses on materials synthesis, preparation, and nanoscale characterisation of van der Waals materials, including graphene and transition metal dichalcogenides. The postholder will conduct experimental measurements, collaborate with team members on calibration and parameter optimisation of the technique, and apply complementary characterisation methods to validate the results obtained using the proposed KPFM approach. The role will support the development of a comprehensive understanding of charge transport, surface potential dynamics, and photovoltage behaviour in advanced materials for next-generation electronic and energy devices. This position is funded through a UKRI FLF Fellowship and thus offers opportunities for further training and career development. The provisional start date for this position is 1st July 2026. - ABOUT YOU - PhD in Physics, Materials Science, Nanotechnology, Mechanical/Electrical Engineering, or a closely related discipline. Experience in experimental research related to nanomaterials, semiconductor devices, or advanced materials. Experience in data analysis and interpretation of experimental measurements. Evidence of research outputs such as peer-reviewed publications, conference presentations, or technical reports. Demonstrable contribution to collaborative research projects. Please find our employee benefits here: Employee Services & Benefits (ulster.ac.uk) Ulster University holds a Silver Athena SWAN award in recognition of our commitment to advancing Gender equality in higher education. You can read more about what this means at https://www.advance-he.ac.uk/equality-charters/transformed-uk-athena-swan-charter  and on our University website https://www.ulster.ac.uk/peopleandculture/employee-benefits/equality-diversity/athena-swan. The University has a range of initiatives to support a family friendly working environment, including flexible working. The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.