Cardiff University

Ref.: 534543 Work type: Full-time Department: Department of Psychology (30200) Categories: Teaching Staff Applications are invited for appointment as Full-time Lecturer in the Department of Psychology (Ref.:534543), to commence on May 01, 2026, on a two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a doctoral degree in Psychology of any field, and at least 3 years’ relevant teaching and/or working experience. Preference will be given to those with experience in psychological therapy, assessment and research. The appointee will be responsible for teaching postgraduate and/or undergraduate courses, supervising students’ experiential learning, and performing administrative duties assigned by the Department. Enquiries about the post should be sent to the Chair of Selection Committee (e-mail: hrpsyc@hku.hk). Information about the Department can be obtained at https://psychology.hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, along with annual leave and medical benefits. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. The University only accepts online application for the above post. Applicants should apply online and upload a cover letter and an up-to-date CV with the contact details of three referees. Review of applications will start as soon as possible and continue until March 15, 2026, or until the post is filled, whichever is earlier.

FACULTY POSITIONS (AT ALL LEVELS) IN COMPUTER SCIENCE, COMPUTER ENGINEEERING AND INFORMATION SECURITY  The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its upcoming Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of ICT experts works with multi-disciplinary teams to drive the horizontal tech enablers required to support SIT’s strategic translational research. As a young university, we encourage innovation and seek the right candidates to join us in realising our vision. We offer competitive remuneration, generous employment benefits, access to funding to undertake research of relevance to industry, and opportunities to inspire and nurture the next generation of skilled and work-ready graduates. We currently have positions available at all levels, from Lecturer to Full Professor, in the following areas:  Information Security: Mobile/distributed systems security, Cyber Physical Systems security, security analytics, digital forensics, vulnerability assessment, malware analysis and defence, Privacy-enhancing technologies, AI security.   Computer Science and Software Engineering: SDLC, requirement analysis, design, testing, optimisation, analysis, simulation, database, computer graphics, distributed systems, computer vision, video analytics   Emerging Fields: IIoT, computational fintech, robot-human interaction, Trustworthy AI, Explainable AI, Large Language Models, Quantum Computing.   We have established research teams in operational cybersecurity, AR/VR/HCI and immersive technologies, future transportation solutions, AI, future communications/5G, BCI and embedded systems. We welcome candidates who can complement or strengthen these areas. Successful candidates will join the Infocomm Technology (ICT) Cluster (one of five academic clusters in SIT) as members of a team of accomplished experts who are passionate about higher education and deeply involved in industry transformation through applied research programmes.    Faculty in the ICT Cluster undertake funded industry-relevant research, teach courses in Computer Science, Computer Engineering, Information Security and Software Engineering, as well as supervise graduate industry masters and doctorate students in relevant topics. They are also provided with paid leave to undertake consultancy work with industry and/or spend time attached with industry.  We will prioritise collegial and team-spirited candidates with an earned PhD in a related discipline from a reputable university, plus relevant work experience or experience of industry-linked applied research projects. Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below. 

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 purpose of this role is to deliver on a collaborative research project, Proteins for Singapore (P4SG), where you will be part of the research team to establish and understand the structuration of algae/soybean/mung bean proteins for high quality alternative protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and structure of alternative protein foods Design, execute, and interpret experiments independently. Participate in and manage the research project with Principal Investigators (PI), and the research team members to ensure all project deliverables including periodic progress reports are met. Author papers in high-quality journals and contribute to grant writing in areas that are related to the research. 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 manage a team of junior researchers and students to ensure proper operation and maintenance of equipment. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by supervisor. Ideal qualities of the candidate include: 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 Highly proficient in technical writing and presentation  Strong analytical and critical thinking skills Strong initiative and takes ownership of work The candidate should have relevant competence in the areas of processing technology, physical and structural analysis, material formulation, and mathmatical modeling. The candidate should also have a PhD or other advanced degree in a food or engineering related field. Knowledge of food formulation, sensory analysis, extrusion technology, machine learning, and rheology will be advantageous.