Multimedia University of Kenya

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.

1 x full time (scope to negotiate a smaller time fraction), fixed term (2 years) position available Salary Academic Level A ($80,755 - $109,536) + 17% Superannuation Based at the City, but may be required to work and/or be based at other campuses of the University About You The Research Fellow will join the research team led by Dr/ Amy Gelmi and contribute to collaborative research across the School and affiliated Research Institutes. Working in alignment with the University's research strategy, the appointee will undertake innovative, high-impact research in bionanotechnology and regenerative medicine. This nationally recognised program aims to advance fundamental understanding and translational applications within the discipline. Funded by the Australian Research Council Discovery Project, "Understanding Transient Cellular Response to Electrical Stimulation (DP250101190)," the role will focus on developing cutting-edge methodologies to investigate live cell responses to electrical stimulation with high spatial and temporal resolution. The Research Fellow will design and implement advanced bioinformatics pipelines to interrogate stem cell biology using multi-omics approaches, including RNA sequencing, proteomics, and secretomics datasets. Responsibilities include integrative analysis of complex molecular data, interpretation of cellular response mechanisms, and close collaboration with experimental researchers to uncover pathways regulating stem cell function and fate. The successful candidate will be supported to build an independent research profile through structured mentorship in competitive grant writing and opportunities to contribute to, and lead, fellowship and project applications. They will play a key role in planning and delivering high-quality research projects, establishing productive research networks within RMIT and with local and national partners, and producing impactful research outputs that strengthen the School's research excellence and reputation. We are looking for candidates with their knowledge and experience in the key focus areas: Essential Expertise in tissue engineering and regenerative medicine, ideally working with human mesenchymal stromal/stem cells, and/or induced pluripotent stem cells. Expertise in bioinformatics, including RNA-sequencing, proteomics, secretomics, and pipeline development. Evidence of research outputs including publications, conference contributions and/or technical reports in the field. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability to confidently and effectively work with colleagues, project team leaders, and industry partners. Demonstrated ability to meet deadlines and effectively manage varying workloads and respond to changing priorities as required. Demonstrated high level of written and oral communication skills. Preferable Experience in eukaryotic cell culture/tissue culture. Nanoscale characterisation expertise including Electron Microscopy and/or Atomic Force Microscopy. Electroactive biomaterial experience, including electrochemical characterisation and synthesis. Expertise with advanced graphing and/or data analysis software (Prism, Origin Pro, Matlab etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis techniques. Qualifications Mandatory: PhD in Biology/Biotechnology/Chemistry/Biomedical Engineering with experience in mammalian cell culture. To review specific key selection criteria and mandatory qualifications required for each role, please review Position Descriptions below or Aleksandra Besia, Senior Advisor at Aleksandra.besia@rmit.edu.au Research Assistant, Bionanotechnology and Regenerative Medicine Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. To Apply Please submit your CV and covering letter and address the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page. Applications close on Monday, 20th of April 2026. About RMIT University RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice. We want to attract those who will make a difference. View RMIT's impressive standings in university rankings. https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings Bring Your Whole Self to Work We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond. We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins. RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. We are a Circle Back Initiative Employer - we commit to respond to every applicant.

The University of Macau (UM) is an internationalized research-oriented comprehensive public university in the Macao Special Administrative Region (MSAR) located at the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The GBA is rapidly developing into one of the leading technology and innovation hubs of the world. UM is placed No. 145 in the THE World University Rankings and placed No. 285 in the QS World University Rankings. With a scenic campus of approximately 1 km2 on Hengqin island, UM has achieved significant progress in the past decade as evidenced by its rising international repute, state-of-the-art teaching and research facilities, and the establishment of three State Key Laboratories in microelectronics, Chinese medical sciences, and internet of things for smart city. To support economic diversification of MSAR and deepen collaboration between MSAR and Guangdong Province in Hengqin island, UM will continue to invest in cutting-edge research and develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain science and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic development in MSAR and the GBA as a whole. In addition, UM is currently establishing a campus in the Guangdong-Macao In-Depth Cooperation Zone in Hengqin, which is expected to be operational in 2028. With unprecedented growth and development, UM offers a wide range of opportunities for high-calibre talents at all levels to achieve their career goals. It may be noted that English is the working language and the primary medium of instruction at UM. The Department of Public Health and Medicinal Administration (DPM) under the Faculty of Health Sciences (FHS) at the University of Macau (http://fhs.um.edu.mo/) is now inviting applications for the position of Full, Associate, or Assistant Professor in Public Health. Candidates are expected to have strong expertise in at least one of the following areas: traditional public health, hospital management, or medicinal administration. Established in 2013, FHS is committed to providing high-quality educational programmes, conducting impactful research, and delivering dedicated services to the community. To strengthen its teaching and research in public health, FHS founded DPM, which focuses on areas including traditional public health, hospital management, medicinal administration, infectious diseases, and data science. Currently, FHS offers a Doctor of Public Health programme, while its DPM offers both the Bachelor of Science in Bioinformatics and the Master of Science in Global Public Health programmes. Qualifications A doctoral degree in related biological, health and/or medical studies. Candidate for Assistant Professor should demonstrate a high potential of excellence in research and teaching and is preferable to have at least three years of postdoctoral training. The appointment at the rank of Full Professor and Associate Professor depends on qualification and achievements of the candidate, such as the established international excellence in research and scholarship as a proven record of publications in high calibre international journals. The selected candidate is expected to assume duty in 2026/2027. Remuneration A taxable annual remuneration starting MOP1,250,200 (approximately USD154,350) for the position of Full Professor; MOP1,052,800 (approximately USD129,980) for the position of Associate Professor and MOP855,400 (approximately USD105,600) for the position of Assistant Professor will be commensurate with the successful applicants’ academic qualification and relevant professional experience. The current local maximum income tax rate is 12% but is effectively around 5% - 7% after various discretionary exemptions. Apart from competitive remuneration, UM offers a wide range of benefits, such as medical insurance, provident fund, on-campus accommodation/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/. Application Procedure Applicants should visit https://career.admo.um.edu.mo/ for more details, and apply ONLINE. Applicant should submit a cover letter in which the preferred position(s) is specified, along with a detailed Curriculum Vitae. Review of applications will commence immediately and continue until the position is filled. Applicants may consider their applications not successful if they are not invited for an interview within 3 months of application. Human Resources Section, Office of Administration University of Macau, Av. da Universidade, Taipa, Macau, China Website: https://career.admo.um.edu.mo/; Email: vacancy@um.edu.mo Tel: +853 8822 8589;  Fax: +853 8822 2412 The effective position and salary index are subject to the Personnel Statute of the University of Macau in force. The University of Macau reserves the right not to appoint a candidate. Applicants with less qualification and experience can be offered lower positions under special circumstances. ***Personal data provided by applicants will be kept confidential and used for recruitment purpose only*** ** Under the equal condition of qualifications and experience, priority will be given to Macao permanent residents**