ISMAT - Instituto Superior Manuel Teixeira Gomes

Project summary An exciting opportunity is available to join the laboratories of Dr Ali Roghanian and Dr Salah Mansour at the University of Southampton in collaboration with MiNK Therapeutics. We are seeking a collaborative and motivated scientist to work on our new funded programme developing next-generation, off-the-shelf immunotherapies for childhood cancers. This 21-month project will harness engineered cytotoxic invariant Natural Killer T (iNKT) cells for precision targeting of paediatric cancer neoantigens. Building on strong preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutic candidates. The Research Assistant will lead studies on cytotoxic T cell mechanisms, oversee preclinical validation, and advance TCR-engineered iNKT platforms optimised for immunotherapy. The role bridges basic and translational research and suits a creative scientist with interests in tumour immunology, T cell engineering, and immunotherapy. You will join a multidisciplinary team spanning immunology, with access to advanced flow cytometry and in vivo platforms. Key responsibilities To work within the Mansour and Roghanian labs, and with collaborators at Southampton, LifeArc and MiNK Therapeutics. To design, conduct, and analyse in vitro and in vivo immunology experiments. To lead the optimisation and functional assessment of human T cells. To liaise and coordinate between project collaborators, including the industrial partner, and core facilities. To record analyses accurately and present results at group and collaborative meetings, and conferences. To contribute to dissemination of findings through publications and grant applications. Any other duties appropriate to the scope and grade of the post. Essential qualifications, experience and competencies Degree (BSc or equivalent) in biological or biomedical sciences or equivalent experience Strong practical experience with core immunological assays (e.g., FACS, ELISA, T cell assays). Proven competence in the design and execution of experiments using mouse models of cancer. Ability to manage projects to timelines, supervise junior staff, and work both independently and collaboratively. Excellent communication and presentation skills, including at conferences. Desirable Experience in engineering human T cells, viral transduction, or related approaches. Home Office Personal Licence. About us The University of Southampton offers a strong environment for translational immunology. Clinical and Experimental Sciences (CES) is a hub for infection and immunology, while the Centre for Cancer Immunology (CCI) is the UK’s first dedicated cancer immunology centre. Together, they unite expertise in T cell biology, multiomics, immunotherapy, preclinical modelling, and clinical translation, supported by an embedded Clinical Trials Unit and close links with NHS and industry partners. How to apply Applications must be submitted via the University of Southampton recruitment system by 7th June 2026. Interviews will be held soon after. Applicants should provide: A CV A cover letter outlining suitability for the role Contact details for at least two recent referees Start date: September 2026 or soon after (negotiable) This is a fixed term post initially 12 months with a possibility of extension to 21 months, subject to progress.

As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification, dedicated to applied research in immersive technologies and bridging the gap between academia and industry. Research staff at the Centre have the opportunity to be equipped with applied research skill sets relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team investigating harmful user-generated content in virtual worlds as part of a national research initiative on Online Trust and Safety. The primary responsibility of this role is to investigate users’ experiences with harmful content in these virtual environments, review existing reporting guidelines on these platforms, and evaluate users’ responses to alternative mechanisms. The successful candidate will work with a diverse team of faculty members, engineers, and industry partners, including labs at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key Responsibilities Manage the research project together with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Conduct a comprehensive review of literature, existing safety policies, community standards, and moderation tools currently used in online social gaming platforms Design and execute surveys and interviews to collect data (including participant recruitment) to address the relevant research questions. Perform statistical analysis on survey/experimental data, and Conduct thematic analysis on interview transcripts and open-ended survey responses. To lead and report research findings in a form of high-quality publications and present in international peer-reviewed conferences and journals. Develop policy recommendations based on the research findings. 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 Responsibilities Manage the research project together with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Conduct a comprehensive review of literature, existing safety policies, community standards, and moderation tools currently used in online social gaming platforms Design and execute surveys and interviews to collect data (including participant recruitment) to address the relevant research questions. Perform statistical analysis on survey/experimental data, and Conduct thematic analysis on interview transcripts and open-ended survey responses. To lead and report research findings in a form of high-quality publications and present in international peer-reviewed conferences and journals. Develop policy recommendations based on the research findings. 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. 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

Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term 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 design, develop and evaluate schemes for quantum key distribution networks and systems. Key Responsibilities: Participate in the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Design, develop and evaluate solutions given problem statements in key generation and relaying across multiple hops in quantum key distribution (QKD) networks. Demonstrate functionality of solutions. Document and publish the project works. Job Requirements: Have relevant knowledge in the areas of quantum key distribution (QKD) protocols, e.g., BB84, E91, MDI, TF, etc. If there is no prior experience, it is acceptable if the candidate can self-learn the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree will be advantageous. Experience in designing, developing and evaluating solutions for a given problem statement using simulation tools, such as Matlab, Python, etc., and documenting and publishing the works in technical reports or papers. Knowledge of network placement optimization for various topologies, e.g., Erdos-Renyi random network, scale-free, small world, etc, will be advantageous. key Competencies: Understand existing quantum key distribution (QKD) protocols, networks and systems. Able to perform resource placement optimization in computer/communication networks. Proficient in technical writing and analytical skills. Show strong initiative and take ownership of work. Able to work in a team with members of diverse backgrounds.