Sri Ramachandra Institute of Higher Education and Research

The Leverhulme Centre for Algorithmic Life is a major new interdisciplinary research hub dedicated to the study of how machine learning and AI algorithms are transforming societies. The Centre is supported by £10 million in funding from the , for ten years, awarded through its 2025 Research Centre competition. Led by at the Centre's hub in , the Leverhulme Centre has collaborative partners in York, Edinburgh, Amsterdam, and Duke Universities. You can find more information on our interdisciplinary team. The Leverhulme Centre for Algorithmic Life seeks to appoint up to seven talented researchers and scholars to the role of Assistant Professor (Research) for a period of 36 months to work on one or more of our four thematic programmes. We welcome applications from those with research interests in these broad fields, and we are particularly eager to hear from applicants with ambitions to develop their disciplinary expertise through interdisciplinary collaboration across the social sciences, humanities, and sciences. These posts offer exciting opportunities to make defining contributions to The Leverhulme Centre for Algorithmic Life's research while providing excellent opportunities for to develop your career in an exciting and progressive institution. For more information, please visit our Centre's pages at... The successful candidates will join a lively and supportive research environment with emphasis on mentoring, career development, and the ambitious pursuit of cutting-edge research questions. The posts are based at Durham University, though with opportunities for mobility and exchange with our partner universities and organisations. Our researchers will have access to the dedicated Leverhulme Centre resource for research activity and development.  

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following posts: Associate Professor/Assistant Professor Division of Artificial Intelligence (Post Ref.: 25/72) The Division is looking for an experienced Associate Professor/Assistant Professor who will (1) conduct high-quality research in the state-of-the-art areas in artificial intelligence, natural language processing, large language models, and computer vision; (2) secure external competitive research grants in various funding bodies; (3) teach multiple subjects in both undergraduate-level and postgraduate-level programs in data science areas focusing on industrial data sciences, blockchain, data sciences, artificial intelligence, etc.; (4) work on the promotions and admissions as well as the operations for undergraduate and postgraduate programmes, and (5) contribute to other administrative duties as required by the supervisors. General Requirements Candidates should have (i) a doctoral degree in a relevant data science, computer science, artificial intelligence, information engineering, or other relevant areas; (ii) a strong publication record and outstanding citation counts in the research areas; (iii) experience in applying external grants and teaching relevant courses and relevant programme administrative experience will be advantages; (iv) good command of English and Chinese (including Mandarin). For the post of Associate Professor, six years of relevant experience in the tenure-track academic post should be required. The candidates with less experience will be considered as Assistant Professor. Appointment The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointees. Appointments will normally be made on a fixed-term contract of up to three years. Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.

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 a research project where you will be part of the research team to develop yeast and fungi for food ingredient and biochemical production. The specific goals are: Metabolic engineering of Yarrowia and Candida yeasts for organic acid production Design and optimization of fermentation method in 10L and 100L stirred tank vessels Key Responsibilities: Fulfill the primary responsibilities within the project: i. Deliver structured presentations of research plans and findings every two weeks. ii. Provide guidance and mentorship to junior research engineers and undergraduate students working in the same research field. iii. Prepare scientific manuscripts for reporting and potential publication (as first or co-author). Prepare writeup for new research grant application Support undergraduate lab class conduct where applied research outcomes are utilized in undergraduate teaching. Conduct thorough risk assessments and ensure adherence to work, safety, and health regulations for all research activities. Coordinate procurement activities with licensed vendors for research items. Job Requirements: Have a relevant PhD degree in Biochemistry or Biochemical Engineering Have at least 1 year experience with the metabolic engineering of Yarrowia and Candida yeasts, including foreign gene expression and gene deletion. Have at least 1 year experience with the use of bioreactor, HPLC-MS and GC-MS. Prior experience in the genetic manipulation of filamentous fungi cell line engineering is advantageous. 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, take ownership of work, and able to cope with failures