1. Research Assistants (various grades including trainees)
2. Assistant Engineers/Engineers/Senior Engineers
3. Assistant Research Scientists/Associate Research Scientists
Duties and responsibilities
1. Conduct collaborative “AI in Healthcare” research with Edinburgh University;
2. Conduct AI meta-research in evidence-based medicine;
3. Conduct AI, informatics, and data science research into precision healthcare, using individual patient data, omics data, and population health data;
4. Conduct research into AI logics, probabilistic predictive modeling, deep learning, natural language processing, multi-agent systems, AI security, and AI ethics;
5. Implement large-scale IT architectures and Cloud/Edge/Fog computing systems;
6. Implement domain-specific languages for distributed computing;
7. Write and publish international journal and conference papers;
8. Co-supervise their team members and the postgraduate students from partner universities.
Qualifications and requirements
1. University degrees and engineering experience: Bachelor or Master degrees for Research Assistants (various grades including trainees); Bachelor or Master degrees, and preferably with working experience, for Assistant Engineers and Engineers; Master (or above) degrees and extensive engineering experience for Senior Engineers; PhD degrees plus research achievements for Assistant Research Scientists and Associate Research Scientists.
2. Research experience: preferably artificial intelligence, data science, logics, linguistics, statistics, bioinformatics, chemoinformatics, and medical informatics, etc.;
3. Technical skills: mastery of the programming languages (e.g., Python/R/Julia, Java/Scala, Erlang/Elixir, and Prolog) and computing environments/frameworks (e.g., Linux/Unix, Apache/Nginx, Kafka/Pulsar/RabbitMQ, Pandas/Mars/NumPy/SciPy, DockerSwarm/Kubernetes, Spark/Hadoop, Scikit-learn/MLib, OpenAI/AutoML, TensorFlow/PyTorch, and/or CoreNLP/NLTK/spaCy/SparkNLP/Torchtext) for AI and data science research;
4. Language skills: Proficient English skills for reading, writing, and speaking.
Please email CVs to Prof. Siu-wai Leung: email@example.com
About the research team
David Robertson: Prof. David Robertson holds a Personal Chair in Applied Logic within the School of Informatics at the University of Edinburgh. He is also a Vice Principal (Pro VC) and Head of the University’s College of Science & Engineering. Prior to this he was Head of School of Informatics at Edinburgh, which is the largest UK computing science department in the UK in terms of research power. His computing research is on Artificial Intelligence, specialising in formal methods for coordination and knowledge sharing between (human/artificial) agents in distributed systems where a high degree of autonomy is expected in the components of the underlying system. This is one of the enablers for AI at large scale. Methods from his group have been applied to astronomy, simulation of consumer behaviour, emergency response and healthcare. He was a member of the Farr Institute for medical data sharing and was co-director of the Centre for Medical Informatics at the University of Edinburgh. He is currently a co-director of the Edinburgh node of Health Data Research UK. He chaired the executive of the UK Computing Research Committee (the expert panel of the British Computer Society and the Institution of Engineering and Technology) and has served on strategic advisory groups for the UK's Engineering and Physical Sciences Research Council, the Medical Research Council and Innovate UK. He is a member of the governance board for the Scottish Innovation Centre in Data Science and was on the supervisory board for EIT Digital (a leading European digital innovation and entrepreneurial education organisation) and is a Fellow of the European Alliance for Innovation.
Siu-wai Leung: Prof. Siu-wai Leung is a Research Scientist at the Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS) and Director of the Edinburgh Bayes Centre for AI Research in Shenzhen (in preparation). He did PhD in artificial intelligence at the University of Edinburgh, under supervision of Prof. David Robertson, and MPhil in biochemistry at the Chinese University of Hong Kong. He was elected Fellow of Royal Society of Biology (a federation comprising major biomedical societies in the UK), and Fellow of Royal Society for Public Health. Before joining the AIRS, he was a PI at the State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, to conduct evidence-based genomics medicine research into early diagnosis and therapy of complex diseases such as diabetes mellitus, cancer, and neurodegenerative diseases. In Macao, he also serves as the Vice-President of the Macau Pharmacology Association and the Vice-President of the Computational Pharmacy Society. He was the founding Executive Editor and Editor-in-Chief of Chinese Medicine, a BioMed Central journal, to get the journal indexed by SCI-E and JCR. He was an invited lecturer or panel speaker of the conferences organized by Springer Nature, International Committee on Publication Ethics (COPE), and the World Congress on Research Integrity (WCRI). Before his PhD study in Edinburgh, he was Acting Head of the Chinese Medicine Informatics Centre at the Hong Kong Baptist University, and Head of Data Processing (China) at Nielsen, the world’s leading market research firm.