Kings College of the Philippines

Beijing Normal – Hong Kong Baptist University (BNBU) now invites candidates for the following position which is expected to be filled in September 2026: Professor/Associate Professor/Assistant Professor in Media and Communication (Ref: FHSS260403 Job Description The Department of Communication at BNBU invites applications from student-centered scholar-practitioners broadly trained in one or more of the following fields: 1) communication theory; 2) AI-centered approaches to media studies; and 3) media production. There are opportunities to develop innovative pedagogy and collaborative research. Job Requirement All applicants should hold a PhD degree in Media and Communications with a commensurable research profile. Other requirements include a firm commitment to teaching and tutoring students as well as engaging in theory-based qualitative or quantitative research. Teaching responsibilities may include courses related to communication theories, research methods, video production, graphic design, and others of the applicant’s own interests. Research and practical experience in AI and digital media-related areas will be an added asset. Preference will be given to candidates who can undertake original research leading to high-quality outcomes. Please include a cover letter along with your CV explaining your rationale for coming to BNBU, how you meet above requirements, and how you can contribute to our research and teaching environment. Closing Date: June 30, 2026 All application materials should be submitted in English. Application Procedures Please complete the job application form and upload the requested documents online: https://hrapp.bnbu.edu.cn/recruit/job/vacancy/JobDetail/1117. If you failed to submit your application online, please send your application by emailing to recruit@uic.edu.cn. Applications should include a curriculum vitae and a completed "Job Application Form" which can be downloaded from https://hro.uic.edu.cn/Job_Opportunities_/Application_Procedure.htm. Please indicate the position being applied for, including the field of expertise, level and reference number. The University reserves the right not to fill these positions, or to extend the search until suitable candidates are identified or to make an appointment by invitation. We are an equal opportunity employer committed to creating a diverse environment.

Semiconductor fabrication is one of the most complex and precision-driven forms of manufacturing. At nanometre scales, even subtle variations in process conditions can introduce defects that degrade device performance, reduce yield, and drive up production costs. Addressing this challenge requires new modelling approaches that can capture the full complexity of fabrication processes and enable optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning directly from experimental and process data, these models will enable a shift from iterative, trial-and-error fabrication towards predictive and data-driven manufacturing. We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in the group of Dr Yasir Noori. In this role, you will work at the interface of machine learning and semiconductor engineering, developing models that predict post-fabrication device characteristics from process parameters. You will engage with complex, high-dimensional datasets derived from real fabrication workflows, including microscopy, spectroscopy, and electrical performance measurements. You will work closely with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures, and evaluate their ability to generalise across different process conditions. The models you develop will not remain confined to the research lab, but will be validated experimentally and tested at an industrial scale in collaboration with global companies in semiconductor fabrication and electronic design automation. The position offers a rare opportunity to apply machine learning to an important technical challenge with substantial potential impact. You will also be involved in supervising PhD students and junior researchers and play a central role in shaping the research direction of the team. Your work is also expected to contribute to the development of innovative technologies with a clear pathway to commercialisation through the spinout company Deep Fabrication, to influence how semiconductor manufacturing is approached in practice. The role will provide you with deep exposure to nanofabrication processes, experience working with industry-relevant datasets and problems, and the opportunity to publish in leading journals and conferences. It is particularly well-suited to candidates who are motivated by applying machine learning to real-world systems where the underlying physics is complex and not fully understood. This position is offered for 24 months in the first instance, with the possibility of extension for a further 12 months. To apply, please submit your CV and a cover letter outlining how your experience and interests align with the aims of the project, and provide responses to the short-listing questions.

Kia hiwa rā, kia hiwa rā! He hiahia, he pūkenga nōu ki te mahi a te Pūkenga / Pūkenga Matua? Nāia te pōwhiri nā Te Whare Wānanga o Waitaha kia tono mai i te tūranga nei. Āu mahi - What you will do Applications are invited for a continuing (permanent) position in the Department of Chemical and Process Engineering at Lecturer/Senior Lecturer level. The level of appointment will depend on the successful candidate's relevant experience. You will contribute to teaching across the undergraduate chemical engineering curriculum. Your research will complement the present research activities of the Department in any area. You will be encouraged to develop a strong, externally funded research programme as well as be expected to collaborate with other academics in the Department's teaching and research activities. The appointee will also be expected to develop links with and connect to the wider engineering profession at local, national and international levels. Mōu - Who you are We are committed to building a diverse and inclusive team and encourage applications from people with a variety of research interests and specialisations. The department values cooperative staff who will nurture our students to become world-class engineers. Applicants must hold or be about to complete a PhD degree in Chemical and Process Engineering (or a closely aligned discipline, e.g. physics, chemistry, biotechnology, materials science), and have a demonstrated record of published research in internationally recognised journals appropriate to your career stage. You will have a commitment to excellence in teaching of core courses in Chemical and Process Engineering at the undergraduate level, delivering effective teaching methods that enable a wide range of learners to succeed. You will demonstrate the ability to collaborate with others in the University and throughout the wider research community. You will also be expected to show an interest in contributing to Faculty, Departmental, and University activities. The appointee will also ideally demonstrate a background in supervising final year undergraduate projects, Masters and PhD students. If you are passionate about advancing the field of Chemical and Process Engineering and contributing to research and teaching, we encourage you to apply and join us in shaping the future of Chemical and Process Engineering education. For more information about the Department and our team, please visit our website and take a virtual tour of our Engineering facilities. Mea e tukua nei - What we offer The University is committed to providing an excellent working environment, this includes: Relocation support Conveniently located, onsite childcare facilities Parenting rooms available across campus, including in Rātā the main Engineering building Five weeks annual leave and five days university holidays UC parental leave (up to nine weeks paid) plus 26 weeks Government paid parental leave and onsite childcare facility Widely accessible sabbatical provision Generous employer contribution to superannuation (up to 6.75%) University and faculty scholarship support for postgraduate students A unique bequest funded endowment (Erskine Fund) that supports an extensive visiting fellowship programme Flexible working arrangements, including flexible hours and some work from home opportunities Supportive working environment, including active health, safety and wellbeing committee, initiatives to encourage social interactions between staff Professional development and study opportunities Living in revitalised Ōtautahi - Christchurch, Aotearoa New Zealand A working environment in a beautiful campus with access to UC facilities such as the recreation centre and Staff Club at discounted rates, plus onsite cafés, eateries, and more For more information on our benefits, please visit: https://www.canterbury.ac.nz/joinus/benefits/ This role sits within the Academic Staff, Associated Staff and Support Staff Collective Agreement and the following salary scale applies: Lecturer $94,181 - $113,616; Senior Lecturer $119,586 - $135,630 The closing date for this position is Sunday, 03 May 2026 (midnight NZ time). Please note, applications will be reviewed after the close date. Pēhea te tono mai - How you apply Applications for this position must be submitted on our careers website and should include the following: A one-page cover letter, a one-page research statement outlining your research interests and goals, and a one-page teaching philosophy statement (combined document) A resume which includes a list of relevant research publications (combined document) Please note, only two documents can be uploaded in the application process. We value inclusivity and diversity at the University of Canterbury. We know that candidates from underrepresented backgrounds often only apply for roles if they meet all of the criteria, so if you're keen to apply but are not sure you meet all of the requirements or need additional support please let us know (academic contact: Daniel Holland). We do not accept applications by email, however, we are happy to answer any queries at WorkatUC@canterbury.ac.nz For further information specifically about the role, please contact: Daniel Holland Daniel.holland@canterbury.ac.nz. For overseas applicants, please visit the Immigration New Zealand website to review the latest health and visa requirements for visiting and working in Aotearoa - New Zealand. To apply for this job, please click here or go to our job site and enter the job code 31232HL