Chiang Rai Rajabhat University

About the Role We are seeking to recruit a Research Fellow in AI for Climate Modelling to become a member of the School of Ocean and Earth Science at the University of Southampton. The successful candidate will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical climate data, simple physics-based models, and AI to deliver more accurate projections of how our climate will warm and recover in a net-zero future. As part of this project, you will apply machine learning (ML) methods to discover reduced-order models from data and develop GenAI-based techniques for generating high-resolution climate projections. In addition to developing, testing, evaluating, and iterating the model, you will engage with stakeholders to design user-friendly interfaces that maximise impact. The successful applicant will join an active ocean and climate physics group at the University of Southampton. You will be part of a vibrant oceanographic and climate science community at the School of Ocean and Earth Science and the National Oceanography Centre, working closely with national and international partners. We are strongly committed to developing the next generation of climate-modelling tools. The post is a fixed-term appointment for 36 months (3 years), with the possibility of extension for up to one additional year, and is part of a UKRI Future Leaders Fellowship project awarded to Dr Duo Chan. About You Given the interdisciplinary nature of the post, we welcome applications from candidates with a PhD (or equivalent) in Artificial Intelligence/Machine Learning, or climate science with substantial experience applying advanced AI methods to climate problems. We are particularly interested in researchers who develop or apply state-of-the-art ML/AI approaches — such as deep learning, generative models, or equation discovery — rather than traditional statistical techniques. Applicants should be fluent in Python, experienced with modern machine learning frameworks such as PyTorch or TensorFlow, and comfortable working with large, complex climate datasets in HPC or cloud environments. Strong quantitative problem-solving and communication skills are also essential. We welcome applications from all interested candidates and particularly encourage those who identify as Black, Asian, from a minority ethnic or lower socio-economic background, LGBTQ+, women, or people with disabilities, as these groups are currently underrepresented in our community. What we can offer you We are an ambitious, supportive academic community committed to helping everyone reach their full potential in education, research, and enterprise. We hold a departmental Athena SWAN Bronze award and an institutional Silver award. We value diversity, equality, and flexible working, and we consider career breaks for reasons such as parental leave, disability, or illness. We offer a generous holiday allowance, additional closure days, subsidised health and fitness facilities, and membership of the Universities Superannuation Scheme (USS). We also support early career researchers in line with the Concordat to Support the Career Development of Researchers. Enquiries For informal inquiries please contact Dr. Duo Chan (Duo.Chan@soton.ac.uk).

The Admissions Team are looking to recruit an Admissions Coordinator to join their busy team.  The post-holder will be responsible for assessing applications for a portfolio of taught courses, working closely with Admissions Tutors and other key stakeholders to deliver an excellent applicant experience. The post-holders will also respond to enquiries from applicants and their supporters via telephone and email, as well as contributing to a variety of other activities undertaken by the Admissions service.  The successful candidate will be an excellent team player with a proven ability to work proactively. They will be well organised and adaptable, taking a positive approach to managing a busy workload. Exceptional communication skills are essential, as is a strong commitment to delivering outstanding customer service. Candidates are generally appointed at the bottom of the salary scale. 

About Us The Institute of Pharmaceutical Science (IPS) at KCL supports world class fundamental and applied research across the full spectrum of pharmaceutical science, from drug discovery through biophysical and biological characterization, pharmacology, formulation, drug delivery and use of medicines, with a strong culture of multi-disciplinary collaboration and links to clinical colleagues evidenced by awards of major grants from organisations such as MRC, BBSRC and NC3Rs. The medicinal chemistry laboratory of IPS has been recently refurbished and modernized with new equipment and facilities, and the selected candidate will be based at the medicinal chemistry laboratory at Franklin Wilkins Building. About The Role Inflammation drives the pathogenesis of many respiratory disorders. Established anti-inflammatory medications (e.g. glucocorticosteriods or PDE4 inhibitors) have questionable efficacy in the majority of COPD patients. Patients often suffer side effects (eg increased pneumonia risk in patients administered glucocorticosteroids; dose limiting gastrointestinal side effects with PDE4 inhibitors). Furthermore, current drugs are delivered via the inhaled route, and cannot address the issue of systemic inflammation in COPD patients that increases the likelihood of disease exacerbations, or inflammation-driven co-morbidities (e.g. cardiovascular disease) that are also life threatening. Research into the inflammasome; and inflammatory resolving pathways are novel competing strategies, however these retain a risk of immunosuppression. Our approach is advantageous because: 1, systemic platelet activation during inflammation is a critical process that does not carry operational redundancy; 2, targeting biased P2Y1 signalling associated with inflammation eliminates side effects associated with haemostasis eg unwanted bleeding; 3, rapid anti-inflammatory effects are induced by targeting platelet activation; 4, regular platelet turnover means drug effects can be ‘washed out’ if needs be; 5, we have proven local (lung) efficacy via systemic administration of our tool compounds. The project will provide data to allow comparisons between chemical scaffolds (involve synthesis of novel structures chosen from understanding of initial series of compounds and their performance from MRC grant MR/T015845/1) in terms of measurements of efficacy using a validated in vivo model of respiratory disease (COPD), therapeutic dosing strategy to determine duration of action, (in house); pharmacokinetic (PK) data, and early safety profiles (maximum tolerated dose MTD) outsourced to Eurofins. This is a 0.5 FTE post, you will be offered an a fixed term contract until 30/09/2026. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria MSc in Medicinal Chemistry, Pharmaceutical Chemistry or Pharmacy. Practical experience of C-C, N-C and amide coupling reactions, protection-deprotection chemistry and multi-step synthesis Knowledge of small-molecule characterization using NMR, IR, UV, Mass and HPLC techniques Knowledge of software packages, including Word, Excel and chemical structure drawing and bibliographic programmes Knowledge of analytical and preparative LC_MS techniques Track record of published research in peer-reviewed journals of international standing Research experience in Synthetic and Medicinal Chemistry Desirable criteria Experience in chemistry laboratory management including electronic inventory maintenance Record of presenting scientific research at national/international conferences Experience in operating LC-MS system Excellent interpersonal skills 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 of what criteria will be assessed at each stage of the recruitment process. Further Information 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 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. Interviews are due to be held in January/February. Grade and Salary: £39,735 per annum inclusive of London Weighting Allowance Job ID: 134225 Close Date: 04-Jan-2026 Contact Person: Professor Miraz Rahman Contact Details: k.miraz.rahman@kcl.ac.uk