Universitas Islam Lamongan

Job Purpose As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to conduct applied AI research in visual generation models, agentic AI, focusing on applications in creative content generation.  Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Conduct applied AI research in visual generation models, agentic AI. Collaborate with industry partners to develop AI solutions to address real-world problems. Develop and maintain research prototypes and software. Publish impactful research findings and present work for knowledge sharing. Work independently, as well as within a team, to ensure high-quality delivery.  Job Requirements Have relevant competence in the areas of computer vision. Have a Bachelor’s or Master’s degree in computer science, data science, AI, or related fields. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.

An exciting opportunity has arisen to join the team working to deliver a Strategic Major Programme (SMP) to reframe the position of Professional Services within the University. We are seeking a highly skilled and experienced Change Manager, who will play a pivotal role in driving and embedding change across the programme. About the Role As Change Manager you will lead the development and delivery of the programme’s change management approach, supporting the successful implementation of transformation activities across Professional Services. Working closely with the Programme Leads, Programme Manager, Programme Communications Lead, workstream leads and stakeholders across the University, you will ensure that change is effectively planned, communicated and embedded. You will be responsible for assessing the impact of change, developing and delivering change plans, and supporting colleagues to adopt new ways of working. You will also work closely with communications colleagues and workstream teams to ensure alignment between delivery activity and change interventions. This is a high-impact role where you will shape how change is experienced across the organisation, helping to build buy-in, minimise resistance and ensure that programme benefits are realised. About You You will be an experienced change professional with demonstrable success in delivering organisational change in complex environments. You will have a strong understanding of change management principles and methodologies, and experience of applying these in practice to support large-scale transformation programmes. You will bring excellent stakeholder engagement and influencing skills, with the ability to build relationships, challenge constructively and support leaders and colleagues through change. You will be proactive, empathetic and solutions-focused, with the ability to balance strategic thinking and hands-on delivery. For an informal discussion about this post, please contact Abi Clark, Senior Executive Officer (Professional Services) at A.Marsh@soton.ac.uk.

Professor Ying Weng is seeking to recruit an Assistant Research Fellow in Artificial Intelligence (outsourced) to join the research project team in School of Computer Science at University of Nottingham Ningbo China. Your Responsibilities: The successful candidate will have specific responsibility for Professor Ying Weng’s research project in Artificial Intelligence. The person appointed will be expected to conduct work using approaches or methodologies and techniques appropriate to the type of research, and will be responsible for writing up their work for publication. The successful appointee will have the opportunity to use their initiative and creativity to develop research methods and extend their research portfolio. This may include opportunities to: undertake supervised research which may include planning, preparing, setting up, conducting and recording the outcome of experiments and fieldwork, developing questionnaires and conducting surveys within the framework of an agreed programme. Conduct literature and database searches and carry out analyses and/or tests and/or critical evaluations using specified and agreed techniques, approaches and/or models and document findings.. Contribute to the production of research reports and publications Prepare and present papers on research progress and outcomes to relevant groups including external bodies.. Continue to develop skills in and knowledge of research methods and techniques and contribute to the development of/or choice of techniques, models, methods, critiques and approaches. Communicate information and ideas to other staff and advise and assist other staff within area of expertise. Build relationships with internal and external contacts to develop knowledge and understanding and form relationships for future collaborations. Work in conjunction with others in the research team, achieve objectives and deadlines of the research project. Participate in training and staff development events, as trainer or trainee, as appropriate. Maintain appropriate professional development, expertise and awareness. Undertake other tasks and responsibilities as may reasonably be required. About You: Essential: Degree in relevant subject area. Excellent oral and written communication skills, including the ability to communicate with clarity on complex information. Developing research skills. Ability to contribute to method improvement. Analytical ability to facilitate conceptual thinking, innovation and creativity. Ability to build relationships and collaborate with others, internally and externally. Evidence of sufficient breadth or depth of research methodologies and techniques to work in research area. Desirable: Master’s Degree in relevant subject area. Demonstrates a desire to further develop skills and knowledge of research methods and techniques. Some practical experience of applying the specialist skills approaches and techniques required for the role. Evidence in use of research methodologies and techniques to work within research area About Us: Join a unique British University in China. University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 10,000 in just 22 years. This is an exciting opportunity to join the School of Computer Science, in the Faculty of Science & Engineering, based at the University of Nottingham Ningbo China (UNNC). The School of Computer Science at UNNC is part of the School of Computer Science at the University of Nottingham, UK, which is ranked among the top UK Computer Science departments (http://www.nottingham.ac.uk/computerscience ). The School at UNNC offers a full range of undergraduate and postgraduate computer science programmes. Supported by major research grants, the School of Computer Science at UNNC is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in manufacturing, transport, healthcare and others. Your Remuneration, Benefits and Support You will be offered a fixed term for 1 year with an outsourced contract effective from June 2026, or as soon as possible thereafter. We are committed to providing competitive employment packages while supporting the wellbeing of our staff to help them reach their full potential. How to Apply Applicants wishing to apply for a vacancy should submit the following documents by email to: job@nottingham.edu.cn before 23:59 (Beijing Time) on the closing date. Please include: Vacancy reference number & title Application Form Cover Letter CV Enquiries If you are unable to apply online please contact the Human Resources Office via Email: Job@nottingham.edu.cn and quote the reference number of “184601”.