Ankara University

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.  Job Details This Research Engineer will contribute to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making (MCDM) framework and tool. The work will involve integrating results from GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration of the project. Key Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python or equivalent programming frameworks. Develop a user-friendly interface (QGIS plugin or web-based application) for decision-making and data visualization. Collaborate with the GIS Research Fellow to integrate ecosystem service layers and model outputs. Conduct tool testing, validation, and iterative refinement based on stakeholder feedback. Manage documentation, data pipelines, and version control. Support system deployment on a secure project server and ensure cross-platform interoperability. Assist in project management and support the team in facilitating and organizing workshops, stakeholder sessions, and policy dialogues. Be involved in regular field work data collection and to perform environmental and biodiversity surveys (fish, birds and insects) as part of a research team. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Software Engineering, Geomatics, Environmental Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models into intuitive, interactive user interfaces. Good teamwork, documentation, and problem-solving skills. Self-motivated and able to learn new tools and frameworks independently. Additional Note: While prior experience with GeoTOPSIS/VectorMCDA is not mandatory, it will be considered a strong advantage. On-the-job training will be provided to equip the candidate with necessary methods and integration workflows with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA methods in GIS environments. Good teamwork and communication skills for collaboration with the project team. Strong problem-solving ability, adaptability, and willingness to learn new tools. Good organizational and documentation skills; familiarity with GIS is a plus.

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 24th April 2026. Interviews will be held soon after. Applicants should provide: A CV A cover letter outlining suitability for the role

Founded in 1989, Hong Kong Metropolitan University (HKMU) is a modern, vibrant and dynamic university. We tailor our professional programmes to adapt to market trends and meet industry needs, thus providing our students with quality professional education and clear career paths. Being the first University of Applied Sciences (UAS) in Hong Kong, we pledge to play a pioneering role in enhancing recognition of vocational and professional education and training, and nurturing talents with both applied skills and knowledge. As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas, including digital humanities and literature, international business, gerontechnology, personalised care, smart city, open and innovative education, and bilingual learning and teaching. HKMU is becoming an ever more vital link in addressing and helping Hong Kong to solve many difficult challenges – as part of our involvement in, and commitment to, the ‘metropolis’ of Hong Kong. Our plans to expand into the Greater Bay Area (GBA) will also cultivate talent to serve Hong Kong and the wider metropolitan GBA. For more information about the University, please visit https://www.hkmu.edu.hk. We are now looking for a suitable person to fill the following position in the School of Science and Technology: Teaching Assistant (S&T) (Ref: 26000IX) Major Duties and Responsibilities The appointee will be responsible mainly for the following: Providing assistance in the course planning, development, coordination and delivery (including classroom teaching) in related disciplines at both the undergraduate and postgraduate levels; Engaging in scholarly activities and student development activities; and Participating in School / University activities and administration. Candidates Candidates should possess the following qualifications, experience and competence: A recognized honours degree in Computing, Electronic Engineering, Cybersecurity, Applied Mathematics, Data Science, Artificial Intelligence, Technology and Innovation, Management, STEM, or a related discipline; Competence in teaching / professional experience including programme development and course administration; Strong communication skills and the ability to use English as the medium of instruction; Highly motivated with excellent interpersonal, communication, and teamwork skills; Passionate in student development and training; and Experience in coaching students and leading co-curricular activities will be an advantage. Terms and Conditions for Appointment An attractive remuneration package, including basic salary, an end-of-contract gratuity, and a discretionary incentive payment, where applicable, will be offered to the right candidates. Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be provided. To Apply Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System. https://hkmu.taleo.net/careersection/ex_full_time/jobapply.ftl?lang=en&job=26000IX Closing date of application: 9 April 2026 The personal data collected will be used for the purpose of considering your application for employment. For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful.