Indian Institute of Management Udaipur

We have an exciting opportunity in our dynamic Estates and Facilities department for a skilled Administrator. This role involves providing professional and detailed support to the department as part of a close-knit and collaborative team. The role In this position you will work in a team, which serves as the single point of contact for all Estates services, playing a key role in ensuring the successful operation of Estates within the University. You will be required to communicate effectively with all Estates personnel, staff at all levels from various departments and Faculties across the University, as well as external visitors and contractors. A key part of the role is working with maintenance managers to ensure records up to date and supporting the department administration.  The team operates from 09:00 to 17:00, Monday to Friday.  About you The ideal candidate will have substantial administrative experience and will be proficient in using Microsoft Office programs. While prior HE or Estates and Maintenance experience is advantageous, it is not essential. The ability to prioritize tasks, assess urgency, negotiate, influence, and interact with a diverse range of stakeholders are skills you will develop in this role. The ability to communicate with people both from within and outside the University is a major part of this role and strong communication skills will add to the customers’ perceived quality of the service provided. Good levels of accuracy are required in carrying out the work of the department. What we can offer In addition to a competitive salary, we offer:  25 days annual leave, 7 University closure days around Christmas and Easter and 8 bank holidays Highly competitive pension Relevant training & development On-site discounted nursery/childcare Electric vehicle leasing scheme Discounted Surrey Sports Park membership How to apply To apply please upload a CV and cover letter outlining why you are suitable for the position. The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. We therefore particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities. Please note this position will be employed by Operate Surrey Ltd, a wholly owned subsidiary of the University of Surrey. Further details Job Description

About us The King’s Health Partners Clinical Trials Office is a collaboration between King’s College London, Guy’s & St Thomas’ NHS Foundation Trust, King’s College Hospital NHS Foundation Trust and South London and Maudsley NHS Foundation Trust. It was set up to provide a single interface for those wishing to conduct clinical trials within the partner organisations, and to ensure that there are common, efficient processes for the set up and administration of clinical trials. About the role The post-holder will conduct clinical trial monitoring activities (including the initiation phase, routine phase, and close-out phase) of clinical trials sponsored or co-sponsored by King’s Health Partners (KHP) Partner Organisations: Guy’s and St Thomas’ NHS Foundation Trust, King’s College Hospital NHS Foundation Trust, and South London and Maudsley NHS Foundation Trust. The post-holder will ensure adherence to approved protocols and undertake effective source data verification. The post-holder will ensure that all activities are conducted in accordance with applicable legislation, ICH GCP E6 guidelines, and applicable institutional policies. Working as part of the KHP-CTO Non-Commercial Team, the post-holder will ensure that the sponsor responsibilities (delegated to the KHP-CTO) for clinical oversight, safety reporting, and data integrity; are discharged to the highest standards of quality and compliance. This is a full-time (35 hours per week) post, offered on an indefinite contract. We’re looking for someone to start on the 16th of February 2026, or as soon as possible thereafter. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Educated to degree level in a health-related area or equivalent professional experience Significant experience of monitoring multi-centre clinical trials in accordance with GCP (including source data verification) Working knowledge of the regulations, guidance and codes of practice pertaining to the conduct of clinical trials Able to learn and work to SOPs and demonstrate a commitment to quality culture Strong planning and organisational skills including the ability to prioritise, manage multiple tasks and projects, with proven ability to deliver to stringent performance criteria Strong interpersonal skills, communication skills, influencing skills and problem-solving skills, including the ability to build rapport quickly and collaborate in a cross-functional team Eye for detail and ability to accurately document findings in written reports Willingness to travel, including overnight stays Desirable criteria Experience supporting regulatory inspections, ideally by the MHRA Ability to ensure quality related issues are identified and followed up in a timely manner Experience with risk-based quality management systems 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 page. This document will provide information about the criteria that will be assessed at each stage of the recruitment process. Further Information This post may close earlier than the stated closing date if a high volume of applications is received. Applicants are therefore encouraged to submit their applications as soon as possible. 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. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. 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 person specification section of the job description. 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. Interviews are due to be held in January 2026 Grade and Salary: £45,031- £52,514 per annum, including London Weighting Allowance Job ID: 134945 Close Date: 20-Jan-2026 Contact Person: Hannah Mason Contact Details: hannah.mason@kcl.ac.uk

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world.  The role  This post is part of an Arts and Humanities Research Council (AHRC) project, Convergent screen technologies and performance in realtime (CoSTAR). The post will operate within the CoSTAR National Lab led by Royal Holloway University of London with Pinewood Studios, BT, University of Surrey, Abertay University, Disguise, National Film and Television School and Surrey County Council.  The role is funded until January 2027, with an extension likely to be granted. We are looking for someone to start as soon as possible.  The successful candidate will work closely with industry and academic partners within the CoSTAR Network. This position offers the opportunity to contribute to cutting-edge research and development in AI for creative industries, while shaping best practices for compute usage and training.  Key responsibilities include:  Supporting CoSTAR R&D activities including the planning and carrying out of specific activities, often in collaboration with colleagues and partners.  Supporting onboarding and troubleshooting activities for CoSTAR AI compute as well as gathering feedback from users. Developing and maintaining key documentation and training materials for the CoSTAR AI Compute infrastructure in collaboration with the wider Surrey Research Computing Services team.  Delivering training sessions for CoSTAR compute users both locally and online.  Leading and collaborating with the CoSTAR Creative AI team, partner Universities and industry across on joint research, development and integration to develop new tools and technologies.  Supporting CoSTAR industry partners in using the CoSTAR AI compute and the development of AI models and applications.  Pursuing and advocating responsible and open research and innovation to ensure ethical, fair and inclusive advances in science, technology and use of data.  Continually update knowledge, develop skills and stay up to date with current research trends and best practice in software development. Undertake liaison with external organisations including equipment manufacturers, steering committees, associated academic facilities and commercial users.  Maintaining links to the central RSE team and ensure sharing of best practice and knowledge within the Surrey RSE community.  About you We are looking for applicants who hold a Master's degree in computer science, electronic engineering, or a related subject. A strong background in software development and experience in one or more of the following areas is essential:  Experience in software development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems.  Experience in collaboration and technology transfer to partners outside of academia.  Ability to work independently or in a team, excellent organisation and time management.  Excellent writing and communication for varying levels of technical/non-technical audience.  Desirable attributes include:  Skills and experience of development using languages such as Python and C++ with relevant computer vision, signal processing, machine learning and/or deep learning tools (TensorFlow, PyTorch, Keras, OpenCV etc.).  A track record of publishing academic papers, open-source software tools and/or datasets. How to apply Please apply on the university website, with a CV and Cover Letter. Interviews will be held week commencing 2nd February. Further details Job Description