Mukah Polytechnic

About us: This is an exciting opportunity to join the Health Psychology Section, part of the School of Mental Health & Psychological Sciences at King’s College London. The School is part of the Institute of Psychiatry, Psychology, and Neuroscience (IoPPN), focusing on understanding the psychological, social, and behavioural factors that influence mental health and well-being. The School promotes cutting-edge research and translation into practice, addressing a wide range of mental health challenges. The Health Psychology Section is home to pioneering research in health behaviors, patient outcomes, and interventions to improve mental and physical health. The successful candidate will have the opportunity to work alongside leading academics and researchers in the field, contributing to impactful studies aimed at enhancing the psychological care of patients across different health settings. You will work closely with an experienced research team, which includes postdoctoral researchers, PhD students, and clinical experts. About the role: We are looking to appoint a Programme Manager to join Dr Heathcote’s team within the Health Psychology Group, Department of Psychology at King’s College London. We are seeking a proactive and organized Programme / Lab Manager to oversee the administrative and operational aspects of a 5-year Wellcome Trust funded research programme entitled ‘When your body betrays you: interoceptive mechanisms of anxiety after cancer’. This is an interdisciplinary research programme cutting across psychology, neuroscience, and patient-clinician communication. This dynamic role involves managing budgets, contracts, and collaborations across leading institutions (KCL, UCL, and Stanford), supporting clinical trial-related activities of novel digital mind-body therapies, and facilitating research dissemination through publications and science communication. You will play a pivotal role in supporting the Principal Investigator and lab members, coordinating meetings, onboarding new staff, and fostering a positive and inclusive research culture. This role will require in-person attendance at Guy’s Hospital for at least two days per week on Mondays and Tuesdays. The additional 0.5 days can be worked either on Wednesdays or Thursdays and be worked flexibly, including at Guy’s or from home. The Health Psychology Section at King’s College London has played a pivotal role in advancing Health Psychology in the UK and continues to drive impactful research in long-term condition management and intervention development. This is a part-time post (50% FTE; 2.5 days per week), and you will be offered a fixed term contract until 16/02/2027. Please note that as this role is part time, the salary listed in this advert will be pro rated accordingly. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Excellent organizational and project management skills. Experience supporting funded research projects, particularly in the areas of psychology, mental health, and/or physical health. Motivated and driven to improve the lives of people diagnosed with cancer. Excellent interpersonal communication and team-working skills. Self-motivated, proactive, and takes initiative to problem-solve. Able to work in-person at Guy’s Hospital two days per week (Mondays & Tuesdays). Desirable criteria Undergraduate degree in Psychology, Health Science, or a related degree. Masters degree in Psychology, Health Science, or a related degree. Experience of supporting research within an NHS setting. Experience working with vulnerable populations or families impacted by cancer. Programme or lab management experience in academic or clinical research settings, including supporting Trial Steering Committee activities. 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”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further information: 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 2026. Grade and Salary: Grade 5: £39,076 - £43,909 / Grade 6: £45,031 per annum pro rata, including London Weighting Allowance Job ID: 133225 Close Date: 01-Jan-2026 Contact Person: Lauren Heathcote Contact Details: lauren.heathcote@kcl.ac.uk

Job Description 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. We are seeking a highly motivated and talented Research Fellow to join an exciting applied research project within the Infocomm Technology cluster at SIT. This project addresses the critical challenge of delivering real-time Artificial Intelligence (AI) services in Internet of Things (IoT) networks, where latency and timeliness are paramount. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted offloading strategies for IoT networks. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through rigorous simulations and live demonstrations. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical, IoT systems. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of closed-form theoretical latency and timeliness expressions for cloud-hosted AI services and edge-assisted offloading strategies. Analysis of theoretical latency and timeliness for cloud-hosted AI services and edge-assisted offloading strategies. Design and development of edge-assisted offloading strategy and associated software APIs. Validation of edge-assisted offloading strategy via simulations and live demonstrations. Job Requirements A Ph.D degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player. Strong theoretical background in wireless communications or edge computing will be advantageous. Proven track record in research and development of edge intelligence algorithms will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous

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 a research project, funded by Singapore Ministry of Education (MOE), where you will be part of the research team to develop a scalable and comprehensive framework for formal verification of quantum programs. The framework consists of the following deliverables: Intermediate Language. We plan to develop an intermediate language to model quantum programs. The intermediate language would be complete to describe all the desired characteristics of quantum computing while at the same time simple enough to be understood by most programmers. Formal Verification Framework. We plan to develop a comprehensive framework to verify the correctness of quantum programs written in the proposed intermediate language. Mechanization. We plan to mechanize the formal framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools. Responsibilities Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: develop an intermediate language to write quantum programs. develop a comprehensive framework to verify the correctness of quantum programs written in our intermediate language. mechanize the verification framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL. develop formal methods for automatic reasoning that can be materialized into commercial tools. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Have relevant competence in the areas of formal methods (including theorem proving and model checking), quantum computing, and software analysis/verification. Have a degree in computer science, computer engineering, electrical engineering, or related areas. Possessing a Master degree will be advantageous. Knowledge of quantum circuit design and quantum program analysis/verification will be advantageous. Key Competencies Able to build and maintain strong working relationships with people within and external to the university 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