ZHAW Zurich University of Applied Sciences

Position: Research Assistant  Responsibilities: The appointee will assist the project leader in:  Conducting research projects relating to machine learning, data analysis, and software development; Assisting in the design of experiments, algorithm coding, and analysis of large datasets; Developing and maintaining websites and web applications; Ensuring cross-browser and cross-device website functionality; Recruiting study participants, conducting interviews, and administering cognitive assessments; Handling enquiries from research participants; and Performing any other duties as assigned by the supervisor in relation to the study. The appointee may be required to work occasionally on irregular hours and during Saturdays and Sundays. Requirements: Hold a bachelor’s or master’s degree in Computer Science or a related discipline; Possess strong programming skills (e.g., Python, Java, C++, HTML, CSS, JavaScript, MySQL); Have experience with data structures, algorithms, and software engineering principles; Demonstrate strong problem-solving abilities and attention to detail; Have good command of written and spoken English and Chinese; Be proficient in computer literacy, including MS Word, Excel, PowerPoint, and SPSS; and Be a good team player and capable of working independently. Preference will be given to candidates with prior experience in research involving health technology development. Position: Junior Research Assistant  Responsibilities: The appointee will assist the project leader in:  Conducting research projects in areas such as machine learning, data analysis, and software development; Assisting in the design of experiments, algorithm coding, and analysis of large datasets; Developing and maintaining websites and web applications; Ensuring cross-browser and cross-device website functionality; Recruiting study participants, conducting interviews, and administering cognitive assessments; Handling enquiries from research participants; and Performing any other duties as assigned by the supervisor in relation to the study. The appointee may be required to work occasionally on irregular hours and during Saturdays and Sundays. Requirements: Have a bachelor’s degree preferably in psychology, public health, social sciences or other related disciplines; Have a good command of both written and spoken English and Chinese; Have good computer literacy including MS Word, Excel, PowerPoint and SPSS; and Be a good team player and able to work independently.  Preference will be given to candidates with prior experience in old age research. Applicants are invited to send CV and applications to Prof. Ada Fung via email awtfung@hkbu.edu.hk. A highly competitive remuneration package will be offered. Applicants should state their current and expected salary in the application. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for interview 8 weeks after the submission of the application may consider their applications unsuccessful. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the positions are filled.

As Singapore’s University for Industry, SIT works closely with industry partners 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 position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: LLM/VLM, media comparison, AI-assisted explainability. The need is for a real-time system, so efficient coding is important. Key Responsibilities: Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met.  Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications. Deliver solution-ready demonstration code. Interact well within the team and the customers. Be self-directed to fulfil the project requirements. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image processing is required. Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI. Experience of authoring good quality academic publications. Manage undergraduate research assistants (if appropriate). Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China. Key Competencies: A self-directed worker who believes in continuous learning and development Proficient in academic writing  Possess good critical thinking skills Show strong initiative and take ownership of work Interest in AI, machine learning, image/audio processing

The University of Nicosia Medical School (UNIC Athens) invites applications from motivated clinical academics for a Teaching and Research Faculty position in Endocrinology, based in Athens, Greece. We seek colleagues who embrace student-centred learning, have an internationally visible record of high-quality research, and are committed to excellence in patient care. Applications are invited at the rank of Assistant Professor, Associate Professor, or Professor, based on the candidate’s experience and academic record. Essential Qualifications Medical degree. Doctoral degree (PhD or equivalent) in Endocrinology or a relevant field. Specialty certification in Endocrinology (Board Certification or equivalent) and relevant clinical experience. Eligibility for full, unrestricted medical licensure in Greece, permitting independent practice of Endocrinology. Proven record of undergraduate and/or postgraduate teaching relevant to the subject area. Research portfolio and publication record commensurate with the rank sought. Excellent command of Greek and English. Key Responsibilities Develop, deliver, and regularly update content relevant to their specialty across the curriculum of the Doctor of Medicine (MD) programme, from pre-clinical courses to clinical rotations, as well as in postgraduate programmes. The successful candidate will be expected to engage students through innovative teaching methods, fostering critical thinking, clinical reasoning, professional values and ethical practice. Provide clinical education leadership, overseeing curriculum design and delivery, student assessment and continuous quality improvement, and provide mentorship to junior members of the clinical education team. Provide mentorship and guidance to students, including advising on research projects, theses, and career development. Conduct high-impact research in Endocrinology, securing external funding to establish and sustain these programmes. Disseminate findings through peer-reviewed publications and presentations at national and international conferences. Serve on Departmental and School committees and assist with strategic planning and development. Advance the School’s mission by leading community outreach initiatives, holding leadership roles in relevant professional societies, and building strategic partnerships with healthcare and regulatory organisations. Application Requirements Interested candidates should submit the following documents in English: Cover Letter: Clearly stating the field and academic rank for which you are applying. Curriculum Vitae (CV): Including a full list of publications. Research Statement (1 page): Outlining previous and current research, as well as future research objectives. Teaching Statement (1 page): Describing your teaching philosophy and experience. Reference Letters: Two letters of recommendation. Note: Candidates must have the legal right to work in the European Union (EU) or the European Economic Area (EEA). Remuneration An attractive and competitive remuneration package will be offered, determined by the successful candidate’s qualifications and professional experience. How to Apply Please submit your application to hr@med.unic.ac.cy. To ensure efficient processing, please use the following format for your subject line: Faculty Position in [Field] – [Rank] – Ref: [F26E01] – UNIC Athens Important Information: Positions will remain open until filled. Due to the high volume of applications, only shortlisted candidates will be contacted.