University of Essex

About us: King’s College London is one of the world’s leading universities, committed to delivering excellence in education, research, and service. Our Finance, Procurement and Analytics (FPA) Directorate plays a vital role in supporting these ambitions by providing strong financial leadership, planning, and advice. You’ll join the Finance Business Partnering (Operations) team, a collaborative and high-performing group dedicated to ensuring finance is at the heart of strategic decision-making across King’s. Why Join Us? This is an exciting opportunity to make a real impact in a world-class institution. You’ll work in a supportive team that values curiosity, continuous improvement, and professional development. About the role: We are seeking a proactive and detail-oriented Assistant Management Accountant to provide high-quality financial analysis and reporting that supports operational decision-making. Working closely with Finance Business Partners and stakeholders, you’ll help shape the financial future of King’s by delivering insights that drive performance and efficiency. Hybrid working model: Monday is our anchor day at the Lavington Street office, with 1–2 days per week spent in stakeholder offices to build strong relationships. The remaining time can be worked flexibly, subject to business needs.  Adaptability is essential as work patterns may evolve. Key responsibilities include: Supporting budget holders to understand management accounts In-year forecasting of income and expenditure Producing accurate monthly reports and analysis Maintaining staffing establishment records Assisting with budgeting, coding changes, and process improvements About you: We’re looking for someone who combines technical expertise with strong interpersonal skills: Essential Criteria: Part-qualified with a professional accountancy body Advanced Excel skills (including pivot tables) and ability to manipulate large datasets Strong analytical ability to produce meaningful financial insights Experience with accounting systems for processing and reporting Excellent communication skills to explain financial concepts to non-financial stakeholders Methodical, detail-oriented, and confident working under pressure Collaborative, proactive, and adaptable to change Desirable Criteria: Degree-level education or equivalent Experience in Higher Education Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. Please note: shortlisted candidates will be asked to complete an online Excel test before the interview stage. We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £39,076 - £41,761 (inclusive of London Weighting) Job ID: 134646 Close Date: 18-Jan-2026 Contact Person: Ese Egbewo Contact Details: ese.egbewo@kcl.ac.uk

We are seeking a Registered Mental Health Nurse active on the NMC register to join the Mental Health Nursing Team in the Department of Nursing, Midwifery and Health at the University of Southampton. The team is experienced, friendly, and supportive and is enthusiastic and committed to developing the Mental Health Nurses of the future. Mental Health Nurses with experience working with children, young people and their families, as well as those with extensive knowledge of working with older people, would complement our current team, but this is not essential. You will be involved in the face-to-face delivery of our nationally recognised pre-registration BSc (Hons) Mental Health Nursing, our Integrated Masters of Nursing leading to registration as a Mental Health/Adult Nurse or Children’s/Mental Health Nurse, and our 2 year MSc Mental Health Nursing programme. You will have an exceptional understanding of issues facing contemporary clinical practice in Mental Health Nursing founded in your own clinical practice. We are looking for someone who shares our passion for outstanding nurse education and has a dynamic vision for how education and research can transform mental health care across the lifespan. You will have completed a Masters level qualification and ideally have higher education experience. However, we are also keen to hear from Mental Health Nurses who have a passion for teaching students and would like to develop a career in education. The University of Southampton’s mission is to change the world for the better. As a world-leading, research-intensive university, with a strong and high-quality educational offering, it is renowned for its innovation and enterprise and sits within the top 1% of universities worldwide. Nursing at Southampton is currently ranked 13th in the world, and 2nd in the UK according to the QS World Rankings by Subject 2025. It is a leading university for Health Sciences research, ranked in the top 3 UK universities in the overall quality of our research, with our research environment scoring top marks (REF 2021). As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance, as well as additional university closure days, we are committed to supporting our people and are open to a flexible working approach. Informal enquiries are strongly encouraged. Please contact Paula Libberton, Head of Department for Nursing, Midwifery and Health at P.Libberton@soton.ac.uk. Please include a covering letter and full CV in your application.

About Us The Hainan Bielefeld University of Applied Sciences (BiUH) is the first international independent university in the Hainan Free Trade Port. Our approach combines theory and practice following the renowned "Work-Integrated University-Industry Collaborative Talent Training Model." We offer cutting-edge programs in high-demand fields: Digital Technologies, Computer Science, Logistics Engineering, Industrial Engineering, Mechatronics and Automation, Software Engineering and Business Administration. Our students benefit from small classes, English-language instruction with accompanying German courses, and intensive learning experiences. The focus is on mastering real-world professional challenges, enabling students to apply their knowledge immediately and preparing them optimally for the global job market. We combine international teaching standards with the unique opportunities that Hainan offers. BiUH is located in the Yangpu Economic Zone in Danzhou, a historic coastal city with direct high-speed rail connections to Haikou and Sanya. We invite passionate educators and researchers at all career stages, from early-career lecturers to established professors, to join our team. Both full-time and part-time positions are available for those committed to application-oriented education. Job Responsibilities Manage the daily operations of the Robotics and AI lab, ensuring all hardware (e.g., robotic arms, mobile robots, humanoid robots, LiDARs, cameras) and computing clusters are operational and safe Handle the procurement, inventory, and maintenance of lab equipment and electronic components Set up hardware and software environments for teaching labs and student projects Research & Development: Assist faculty and PhD students in researching and implementing state-of-the-art algorithms in SLAM, VLA and Reinforcement Learning etc Coding: Develop and maintain clean, reusable code repositories in C++ and Python for the lab's research projects Provide technical support to students and professors during lab sessions and research projects Assist in the preparation of demonstrations for visitors, industry partners, and open days Job Qualifications Bachelor's degree or above in Robotics, Computer Science, Mechatronics, Electrical Engineering, or a related field (Master's degree is preferred). Strong proficiency in ROS/ROS2 (Robot Operating System) is preferred Solid coding skills in C++ and Python within a Linux (Ubuntu) environment is preferred Understanding of basic robotics algorithms (Kinematics, Dynamics, Control) and familiarity with Deep Learning frameworks (PyTorch or TensorFlow) Experience working with physical robots (e.g., robotic arms, quadrupeds, or wheeled robots) and sensors (Depth cameras, LiDAR, IMU) Ability to document technical work clearly English is required (B2 or above); German is desirable Expected Onboarding Time Spring Semester 2026 (March 2026) Salary and Benefits Competitive Salary in the Market (13th Month Salary) Allowance: Travel Allowance / Phone Allowance / High Temperature Allowance, Etc. 5 Types of Social Insurance and 1 Housing Provident Fund Commercial insurance Transitional Apartments Arrangement Working environment that is open to the world and strongly oriented towards sustainability, diversity and internationality How to apply Please prepare the following documents: Current English CV (including full publication list) Cover Letter (addressed to the Principal) 2 Reference Letters Teaching Qualification Documents, Qualifications (if available) Documents certifying the professor's (if available) Academic Degree Certificates Please import all files into one PDF Please name the PDF as "Position - Your Name" Please send all files to recruitment@hainan-biuh.edu.cn