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Prof. Alain Chong and Prof. Ying Weng are seeking an outstanding Postdoctoral Research Fellow to join the newly established Postdoctoral Research Station in Business Administration at the University of Nottingham Ningbo China, contributing to the development of the university’s research agenda. Your Responsibility Your key responsibilities include: Design and Develop Research: Formulate clear research objectives and contribute to the development of proposals for individual and collaborative projects, applying established and emerging methodologies to advance the research agenda. Conduct and Analyze Research: Collect, manage, and rigorously analyze complex datasets; interpret results; critically evaluate existing literature; and generate original insights that align with project goals. Disseminate Findings: Prepare high-quality manuscripts for submission to leading journals, present research at national and international conferences, and contribute to the visibility and impact of the research team. Secure Funding: Identify opportunities and contribute to the preparation of competitive grant applications to national and international funding bodies. Build Networks and Collaborations: Engage with internal colleagues and external partners (academic and industry) to exchange ideas, explore opportunities for collaboration, and establish partnerships that strengthen research outcomes. About You Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply predictive modeling and validation techniques. Research & Publication: Skilled at critically reviewing literature, designing rigorous studies, and producing publications for high-impact journals. Collaboration & Communication: Excellent oral and written English communication skills, with the ability to present technical findings clearly. Knowledge of Chinese is a plus. Ability to work both independently and within multidisciplinary teams. Practical Experience: Prior hands-on research in AI applications / digital innovations in water ecological environment will be an asset. About Us Join a unique British University in China. Join a unique British University in China. University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. Located in Ningbo, this award winning campus offering a UK-style education has grown to establish a student body of over 10,000 in just 22 years. About Postdoctoral research station in Business Administration. Postdoctoral research station in Business Administration was approved to establish in Nov 2023. It is UNNC’s first postdoctoral research station, and its founding deeply aligns with the national strategic needs in promoting talent cultivation and innovation as well as that of UNNC. UNNC’s undergraduate programme of Business Administration was launched in 2004 and the doctoral programme in 2009. The subject has been listed among the world’s top academic subjects by Shanghai Ranking for four consecutive years. The discipline of Business Administration has also established teaching and research platforms at multiple levels and carried out in-depth industry university research cooperation with world renowned enterprises such as Microsoft and Amazon. In the future, UNNC will incorporate the development of the postdoctoral research station into the agenda of the university to provide talent support in efforts to promote scientific and technological innovation as well as economic and social development. About the Research Team. Prof. Alain Chong is Vice Provost for Global Engagement and Partnerships and Chair Professor of Information Systems at the University of Nottingham Ningbo China. His research explores digital innovation, disruptive technologies, and their impact on business and society. He serves as Co-Editor-in-Chief of Industrial Management & Data Systems and as Associate Editor for Information & Management and Decision Support Systems. For details, please refer to the link: https://research.nottingham.edu.cn/en/persons/alain-chong;  Prof. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal & Information Processing at Chinese Academy of Sciences, and Postdoctor at Imperial College London. She received the Newton Research Collaboration Award by UK Royal Academy of Engineering, Best Paper Award at International Conference on Automation & Computing, and 1st Place Prize in the international ASNR-MICCAI BraTS Challenges. She is with membership of Editorial Board for Expert Systems with Applications, Elsevier. For details, please refer to the link: https://research.nottingham.edu.cn/en/persons/ying-weng. About the Project. This project focuses on research in Explainable Artificial Intelligence and Causal Machine Learning, applied to the intelligent monitoring and early warning of key water ecological environment indices, including prediction and management tasks. A network of reservoirs forms the backbone of the region’s water resource infrastructure, playing an essential role in ensuring urban water supply, mitigating flood risks, and supporting agricultural irrigation. However, the intricate interactions between natural hydrological cycles — such as precipitation and evaporation — and human operational controls, including release scheduling and storage regulation, introduce substantial complexity. This dynamic interplay makes the multi-reservoir system both ideal and challenging for developing advanced spatiotemporal forecasting models. By integrating causal inference with interpretable AI techniques, the project aims not only to improve prediction accuracy but also to uncover underlying cause-effect relationships, thereby enabling transparent, reliable early warnings for sustainable water resources development. Candidates are expected to submit a research proposal that builds on this project summary. Your Remuneration, Benefits and Support You will be offered a fixed term contract with University of Nottingham Ningbo China for 2 years. You will be offered a minimum annual salary package of RMB269,906 with competitive benefits package. Postdoctoral Research Fellow is also able to apply RMB50,000 research funding after they start their research. How to Apply Applicants should submit an application via our on-line application system before July 16, 2026. Only on-line applications will be accepted. Referees will be contacted prior to interview and interviews will take place in Ningbo China. https://jobs.nottingham.edu.cn/job/184535/ Applications should include but are not limited to the following: A cover letter An up-to-update CV includes academic and research achievement list A Research proposal (Please refer to the attached project summary) Enquiries Informal enquiries regarding the research project may be addressed to Ying Weng Ying.Weng@nottingham.edu.cn or Alain Chong Alain.Chong@nottingham.edu.cn. If you are unable to apply on-line please contact the Human Resources Office, Tel: 86 574 88180000(Ext. 8854). Equality and Diversity University of Nottingham Ningbo China is an equal opportunity employer. We are committed to providing a fair, equitable, and mutually supportive learning and working environment for our students and staff. It is our intention to ensure that job applicants and staff are treated solely on the basis of their merits, abilities, and potential, regardless of gender, race, colour, nationality, ethnic or national origin, age, socio-economic background, disability, religious or political beliefs, trade union membership, family circumstances, sexual orientation, or other irrelevant distinction.

About the 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. The Role We are seeking a highly motivated and talented Research Fellow to join an exciting industry-funded applied research project within the Infocomm Technology cluster at SIT. This project addresses the critical challenge of enabling ultra-reliable low-latency communications (URLLC) with priority-aware offloading for public safety services. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical systems. Key Responsibilities Derive and analyse closed-form mathematical expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication protocols to validate edge-only, cloud-only, and edge-cloud computation offloading algorithms. Conduct rigorous simulations and live PoC trials to ensure computation offloading algorithms meets URLLC targets for public safety services. Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Job Requirements A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related discipline. A strong theoretical foundation and research background in wireless communications and edge computing. Strong publication track record in top-tier conferences and journals in the areas of wireless communications, IoT, or edge computing. Demonstrated proficiency in software API and algorithm development of edge intelligence algorithms using Python. Knowledge of machine learning or reinforcement learning techniques is highly advantageous. Experience with theoretical wireless network modelling, particularly stochastic geometry or queuing theory, is highly advantageous.

Skills and knowledge required for the position Level D Principal Research Fellow, for applications with a strong national reputation and demonstrated leadership in implementation science, research translation and impact; or Level E Professor, for applicants with an outstanding international reputation, sustained academic leadership and significant influence on policy, practice and research translation at a national and international level. Work with inspiring people who are driven to make a difference About the position La Trobe University is seeking an outstanding implementation scientist to join the Australian Autism Knowledge Hub (AAKH) as either a Professor (Level E) or Associate Professor (Level D). This is a rare opportunity to play a leading role in delivering a nationally significant initiative focused on translating research into real-world impact. Embedded within the Olga Tennison Autism Research Centre (OTARC), this role offers a rare opportunity to influence how research is translated into policy, practice, and system-level outcomes across Australia. You will provide senior academic leadership, driving the application of implementation science to ensure research meaningfully improves outcomes for Autistic people and the broader community. The successful candidate will be appointed at either Level D (Associate Professor) or Level E (Professor), commensurate with their experience, academic standing, research track record, and leadership profile. Duties at this level will include Providing leadership in implementation science and driving its application across large-scale research and translation initiatives Leading the design, delivery and evaluation of complex implementation programs aligned to national priorities Translating research into policy, practice and system-level impact Providing expert advice to government, industry and community stakeholders on systems change Building and sustaining strategic partnerships across sectors Leading and mentoring researchers, including supervision of Higher Degree by Research candidates Building capability in implementation science through training, mentoring and leadership Contributing to securing external funding and expanding collaborative research opportunities Contributing to the strategic development of the Australian Autism Knowledge Hub and OTARC. A PhD or equivalent qualification in implementation science or a closely related discipline. A strong research track record and growing or established national/international reputation in implementation science or related field. Demonstrated experience leading complex research, implementation and/or translation programs. Proven ability to translate research into policy, practice or system-level change Experience building partnerships across government, community, industry and research sectors. Experience supervising Higher Degree by Research candidates and mentoring researchers and staff. Demonstrated success in securing competitive research funding and developing collaborative research opportunities. Excellent analytical, strategic and communication skills. Appointment Level Level D Associate Professor, for applications with a strong national reputation and demonstrated leadership in implementation science, research translation and impact; or Level E Professor, for applicants with an outstanding international reputation, sustained academic leadership and significant influence on policy, practice and research translation at a national and international level. Why La Trobe At La Trobe, you ll be part of a university known for: Strong industry connection and real-world impact Leadership in rural health education and workforce development A supportive, inclusive culture that values innovation, accountability and care PD-AAKH Professor of Implementation Science-Level-E-Research-Only (1).docx PD-AAKH Principle Research Fellow - Implementation Science-Level-D-Research-Only.docx Benefits Flexible work arrangements Access to professional development and leadership opportunities Meaningful work that directly impacts communities A collaborative, values-driven university culture View all benefits: http://www.latrobe.edu.au/jobs/working/benefits Why work with us? La Trobe University is a values-driven institution with a strong commitment to research excellence, social justice and community impact. We offer: Flexible work arrangements to support work-life balance A collaborative, inclusive and purpose-led research environment Access to outstanding research infrastructure and multidisciplinary networks Salary packaging benefits and leave loading Opportunities to lead nationally significant research with real-world impact Closing Date: By 11:55pm on Sunday 26 July Position Enquiries: Professor Dawn Adams, Director AAKH Dawn.Adams@latrobe.edu.au Recruitment Enquiries: m.magaton@latrobe.edu.au Only candidates with Full Working Rights in Australia may apply for this position. Please submit an online application ONLY and include the following documents: An up-to-date resume; and cover letter addressing the key selection criteria and specifying the level you are applying for (Level D or E). Please scroll down to apply. Aboriginal and Torres Strait Islander Applicants We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people. Our commitment to diversity and inclusion La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates. Our commitment to safety All La Trobe University employees are bound by the Working with Children Act 2005. If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement. National Code on Gender Based Violence in ÌÇÐÄVlog La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability. Gender-based violence means any form of physical or non-physical violence, harassment, abuse or threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation of liberty or autonomy. Why La Trobe Develop your career at an innovative, global university where you ll collaborate with community and industry to create impact. Enjoy working on our inspiring and stunning campuses the perfect hub for industry, students and academics. Help transform the lives of students, partners and communities now and in the future.