Faculté des sciences de Gabès

About us King’s is a leading university providing world-class teaching and cutting-edge research. We are ranked sixth in the UK for the quality and quantity of research activity (Research Excellence Framework, 2021). King’s has played a major role in many of the advances that shape modern life, such as the discovery of the structure of DNA and research that led to the development of robots, radio, television, mobile phones and radar. King’s continues to lead the way on research and pioneers new ideas to make the world a better place. The Department of Engineering at King’s is located on the Strand Campus of King’s College London where the post will be based. About the role A one-year Postdoctoral Research Associate position is available at the Robot Perception Lab led by Dr Shan Luo at the Department of Engineering, King’s College London. You will work on a project on robot manipulation with vision and tactile sensing. The research will be conducted in collaboration with colleagues from King’s College London, international collaborators at MIT, TUM and industrial partners of the project. The main objective of the project is to develop the next generation of dexterous robots that can perform contact-rich manipulation tasks in daily life and manufacturing environments. This is a full time (35 Hours per week) post, offered on a fixed term contract for one year. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area, e.g., Robotics, Computer Science, Artificial Intelligence, Engineering (or a related field); Proven research experience in the field of robotics and AI; Sufficient depth and breadth of knowledge in the subject of Robotics to develop research in the field, e.g., robot design, control and mechatronics; Publication record in robotics and machine learning, e.g., ICRA, IROS, RSS, CoRL, T-RO, CVPR, ICML; Excellent verbal and written communication skills, including academic conference presentations and journal papers; Excellent mathematical and programming skills in Python or C++, and practical experience with deep learning libraries (e.g., PyTorch) Desirable criteria Research experience in one or more of the following areas: tactile sensing, robot grasping and manipulation, robot control, computer vision, deep learning, or deep reinforcement learning; Hands-on experience with systems integration, including Robot Operating Systems; Enthusiasm to supervise UG/MSc/PhD students. 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. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. 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 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 on 9th January 2026 Grade and Salary: £45,031 per annum, including London Weighting Allowance Job ID: 133985 Close Date: 04-Jan-2026 Contact Person: Dr Shan Luo Contact Details: shan.luo@kcl.ac.uk

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 skills that are relevant to industry demands while working on research projects in SIT.  About the DIGNIFIED programme The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with desirable organoleptic and nutritional properties. Our mission is to enhance the quality of life for elderly individuals by creating innovative, nutritious, and visually appealing food products that cater to their specific dietary needs. Job Description:  We are seeking a highly motivated Research Engineer to join our team for a fixed-term project. The successful candidate will be responsible for developing and validating objective texture testing methods that can accurately categorize foods within the International Dysphagia Diet Standardisation Initiative (IDDSI) framework, with a specific focus on Level 5 (Minced & Moist). This role will involve designing custom test fixtures, conducting practical laboratory work, and performing data analysis to create a robust and reliable testing protocol. Key Responsbilities: Conduct a comprehensive literature review on food rheology, texture analysis, particle analysis, image analysis and the IDDSI framework. Design and execute experiments to develop new instrumental texture analysis methods suitable for IDDSI Level 5 foods. Validate new methods against existing standards and a sensory panel to ensure accuracy and clinical relevance. Collect, analyze, and interpret data from instrumental and sensory evaluations. Document all experimental procedures, findings, and analyses in technical reports and prepare presentations to industry stakeholders and manuscripts for publication in peer-reviewed journals. Collaborate with a research team, including food scientists, clinicians, and engineers, to ensure the developed methods are practical and clinically relevant. Job Requirements: A degree in Food Science, Food Engineering, Materials Science, or a related field. A Master's or Ph.D. in a related research field is advantageous. Experience with instrumental texture, image analysis and particle sizing techniques (e.g., texture analyzers, universal testing machines) is highly desirable. Strong analytical and problem-solving skills. Proficiency in material characterization techniques, such as stress-strain characterization. Proficiency in analysis software (e.g., Microsoft Excel, R, or other statistical software). Excellent written and verbal communication skills. Ability to work independently and as part of a team. Demonstrated commitment to strong research ethics and data integrity

Job Purpose The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT Key Responsibilities Design and teach labs & practice modules Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP). Lead or co-lead innovation projects with industry. Manage labs and equipment to support academic programmes and applied research. Ensure safety in labs Job Requirements SNB-valid Full Practicing Certificate (Registered Nurse). A degree in Nursing from a recognised University. Possessing a Master’s degree, PhD degree and relevant certifications will be an added advantage. Have at least 10 years of clinical nursing experience in healthcare settings. Extensive experience and knowledge of nursing skills and industry practices to bring industry perspectives to SIT. Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems. Experience in research projects and publications will be an added advantage. Strong supervisory skills and enjoy working closely with students in an educational environment. Experience in simulation education will be an added advantage. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possessing industrial certifications in relevant areas will be an added advantage (e.g., simulation training) Possession of a good network of relationships with industry partners in hospitals, community, and ILTC sectors will be an added advantage.