Davidson College

Salary: £42,254- £47,389 per annum Contractual hours: 37 Basis: Full Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category/type: Student Services, Student Support, Wellbeing Date posted: 21/01/2026 Job reference: REQ000474 Attachments: attachment Dep Head SS SMH - JDPS - Jan 26.pdf Job description University College Birmingham is seeking an experienced student support professional to provide leadership to its established Sexual Misconduct and Harassment support team. This post is to cover a period of maternity leave for up to 12 months. As part of the ambitious Student Support and Wellbeing directorate, the Sexual Misconduct and Harassment support team provides expert advice and guidance to students who have been victims of or reported for any form of sexual misconduct or harassment - the team is driven by a passion to ensure all students are appropriately supported. This is an exciting opportunity for someone with demonstrable experience of delivering and managing a sexual misconduct support service within a relevant educational setting. Working as part of the directorate’s senior management team, the postholder will build excellent relationships across the institution and with external partners and stakeholders and will be expected to play a key role in strengthening our approach to supporting students. The successful candidate will bring significant experience of working with and supporting young people and students in a similar setting. With a focus on awareness, engagement and prevention, the Deputy Head of Student Support (Sexual Misconduct and Harassment) will use their excellent leadership, management and innovation skills to ensure that all students receive support when they need it. The successful candidate will be expected to start in role in late May / early June 2026. For an informal chat about the role, please contact Ben Pithouse, Director of Student Support and Wellbeing at bpithouse@ucb.ac.uk Standard Information UCB is an equal opportunities employer. University College Birmingham is proud to be TEF rated Silver, with a Good Ofsted rating UCB has achieved the Investors in Diversity Bronze Award. You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work. All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement. All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education

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 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus 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 Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development of uncertainty quantification techniques for the learnt models. You will also have opportunities to contribute to open-source computational tools and datasets, teach master-level courses, and advise doctoral students. You will closely collaborate with Prof. Mari Lundström’s group as well as industry partners and leading research institutions within the Nordics and the EU. Additionally, you will have the opportunity to participate in multidisciplinary initiatives within the Aalto House of AI. Your experience You have a recent doctoral degree in electrical engineering, control engineering, computer science, applied mathematics or a related field. Programming proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with multi-physics modelling of electrochemical processes can be a plus. We value candidates who are collaborative team players, intellectually curious, and open to exploring new research directions. A track record of publications in recognised journals and conferences in the field is expected. We offer The expected starting salary for a postdoctoral researcher is approximately 4100 €/month and salary will increase with responsibilities and performance over time. The fixed term contract is initially for two years. As an employer, Aalto University provides excellent learning and development opportunities as well as occupational healthcare services. Finland has a comprehensive social security system. The primary workplace will be the Otaniemi Campus at Aalto University. Position is available immediately or as agreed. Scientific Environment The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control) in the School of Electrical Engineering at Aalto University explores synergies between nonlinear control theory and machine learning to provide formal guarantees on performance, safety, and robustness of complex systems. We are a part of the Finnish Center for Artificial Intelligence (https://fcai.fi/). Join us! To apply, please share your application with us through our recruitment site ("Apply now!”) latest by 23:59 pm (EET) 19 February 2026. Applications submitted by email will not be accepted. We encourage you to apply early, as applications will be reviewed soon as they are received, and we may invite suitable candidates to interview already during the application period. The position is filled as soon as suitable candidates are identified. All applications must include the following documents in English in a single PDF file: Letter of motivation (max one page). CV including list of publications. Copy of your Master’s and PhD degree certificates (or an estimated graduation date if the PhD degree is not completed) and a transcript of studies (both Master’s and PhD level). Contact details of two referees (and letters of recommendation, if already available). 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. More information If you wish to hear more about the position, please contact Professor Shankar Deka (shankar.deka@aalto.fi). Regarding the application process and practical arrangements, 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.

Founded in 1989, Hong Kong Metropolitan University (HKMU) is a modern, vibrant and dynamic university. We tailor our professional programmes to adapt to market trends and meet industry needs, thus providing our students with quality professional education and clear career paths. Being the first University of Applied Sciences (UAS) in Hong Kong, we pledge to play a pioneering role in enhancing recognition of vocational and professional education and training, and nurturing talents with both applied skills and knowledge.  As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas, including digital humanities and literature, international business, gerontechnology, personalised care, smart city, open and innovative education, and bilingual learning and teaching. HKMU is becoming an ever more vital link in addressing and helping Hong Kong to solve many difficult challenges – as part of our involvement in, and commitment to, the ‘metropolis’ of Hong Kong. Our plans to expand into the Greater Bay Area (GBA) will also cultivate talent to serve Hong Kong and the wider metropolitan GBA. For more information about the University, please visit https://www.hkmu.edu.hk. We are now looking for a suitable person to fill the following positions in the School of Science and Technology: Senior Lecturer / Lecturer (S&T) (Ref: 260004S) Major Duties and Responsibilities The appointee will be responsible mainly for the following: Undertaking course planning, development, coordination and delivery (including classroom and clinical teaching) in related disciplines; Participating in programme development and accreditation exercise; Performing scholarly activities and increasing the publication output and raising the level of consultancies in related discipline(s); Supervising undergraduate and postgraduate research project(s); Engaging in student development activities; and Participating in School / University activities and administration.   Candidates Candidates should possess the following qualifications, experience and competence: A higher degree in Artificial Intelligence, Automation Engineering, Computer Science, Computer Security, Cosmetic Science and Technology, Electronic Engineering, Environmental Studies, Intelligent Building and Construction, Life Science, Quantity Surveying, Robotics, or a related discipline; Relevant experience in the tertiary education sector; Competence in teaching / professional experience including programme development and course administration; Strong communication skills and the ability to use English as the medium of instruction; Active participation in scholarly activities / professional activities; (for Senior Lecturer); Professional qualification and industrial experience in related discipline are preferred; and A record of research funding will be an advantage.   The level of appointment depends on the candidate’s academic background, experience and competence in academic leadership, teaching, research, scholarly publications, etc. Please indicate in your CV for the position that you wish to be considered. Terms and Conditions for Appointment An attractive remuneration package, including basic salary, an end-of-contract gratuity, and a discretionary incentive payment, where applicable, will be offered to the right candidates. Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be provided. “Accommodation Programme for Overseas Young Teaching Staff” sponsored by the “Katie Shu Sui Pui Charitable Trust” Overseas candidates who are successfully appointed by the University and below age 50 will be eligible to apply for the “Accommodation Programme for Overseas Young Teaching Staff” sponsored by the “Katie Shu Sui Pui Charitable Trust”. This programme offers the opportunity to reside in assigned accommodation free of charge for a period of up to six months, subject to terms and conditions. To Apply Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System. https://hkmu.taleo.net/careersection/ex_full_time/jobapply.ftl?lang=en&job=260004S Closing date of application:  3 Feb 2026 The personal data collected will be used for the purpose of considering your application for employment.  For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful.