Murray State University

Job Purpose The Research Engineer/ Research Fellow for Design Factory will play a pivotal role in identifying opportunities and problems that others choose to ignore and solve it with innovative and ingenious solutions that defy convention using proven technologies and innovations. Collaborating closely with faculty, industry partners, researchers, and students, the Research Engineer/ Research Fellow will co-create impactful, practical, and commercially viable products that bridge the gap between technologies and customers, encompassing environmental, social, and economic dimensions. Key Responsibilities Applied Research and Innovation Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy, sustainable materials, and carbon reduction technologies. Explore emerging technologies, frameworks, and practices to advance product solutions in industries. Conduct product family Innovation Quadrant (IQ) analysis and resource optimization studies to address business challenges. Industry Engagement Collaborate with industry partners to co-create innovative products that enhance their portfolio and align with strategic business goals. Identify emerging trends and opportunities in Product Innovation to position SIT as a key partner in Design Thinking, New Product Development and Product innovation. Foster partnerships with businesses, government agencies, and other stakeholders to develop impactful projects that enhance environmental, social, and economic outcomes. Technical professionals who will work with local enterprises to frame projects, identify capabilities needed from the industry ecosystem, IHLs and centres. Involve in industry engagements, help to bring in higher value-added projects for the centres in SIT, Polytechnics and ITE. Applied Research and Innovation Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy, sustainable materials, and carbon reduction technologies. Explore emerging technologies, frameworks, and practices to advance product solutions in industries. Conduct product family Innovation Quadrant (IQ) analysis and resource optimization studies to address business challenges. Industry Engagement Collaborate with industry partners to co-create innovative products that enhance their portfolio and align with strategic business goals. Identify emerging trends and opportunities in Product Innovation to position SIT as a key partner in Design Thinking, New Product Development and Product innovation. Foster partnerships with businesses, government agencies, and other stakeholders to develop impactful projects that enhance environmental, social, and economic outcomes. Technical professionals who will work with local enterprises to frame projects, identify capabilities needed from the industry ecosystem, IHLs and centres. Involve in industry engagements, help to bring in higher value-added projects for the centres in SIT, Polytechnics and ITE. Job Requirements A degree in Engineering or a related field. At least 5 years of relevant industry experience with a proven track record in production innovation and New Product Development. Deliver high-quality and professional ethics with passion for business development and managing customer relationships. Strong business acumen, project management experience and results-oriented with a strategic mindset. Strong negotiation and interpersonal skills and able to adapt in a fast-paced business environment. Good experience in Product Management: Develop and implement strategies for integrating sustainability and energy efficiency into the product lifecycle, from conception to market launch. Strong analytical, project management, and communication skills. Experience in writing project proposals and grants will be an added advantage. Extensive experience and knowledge of industry practices to bring industry perspective to SIT. Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems. Strong supervisory skills and enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage.

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.

Ref.: 534962 Work type: Fractional / Part-time Department: Faculty of Dentistry (08000) Categories: Teaching Staff Applications are invited for appointment as Fractional Senior Clinical Practitioner in Cariology of the Faculty of Dentistry (Ref.: 534962), to commence as soon as possible on a fixed-term (50% fractional) basis for two years, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants must possess a dental or medical (Bachelor’s) degree or equivalent and a Fellowship by examination (or by formal assessment) or Board Certification in General Dentistry by examination, or clinical specialist status or equivalent. Their clinical expertise should enjoy regional acclaim as evidenced by extensive clinical or teaching experience, regional clinical publications/presentations, and regional recognition of clinical excellence in the comprehensive treatment of dental patients and preferably a higher qualification in Conservative Dentistry, General Dental Practice or Family Dentistry. The appointee will supervise clinical teaching of undergraduate students in the nominated Discipline (including Comprehensive Dental Care), provide clinical service, and assist in managing students’ families of patients. Those with clinical specialist status or equivalent may also provide clinical training to postgraduate students, depending on the nominated Discipline. Enquiries about the duties of the post should be sent to Professor E.H.N. Pow at ehnpow@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment on fixed term will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will be provided as applicable. The successful candidate is required to obtain a valid registration with the Dental Council of Hong Kong. (Note: Applicants who do not hold a local dental license must fulfil the essential requirements under the laws of a jurisdiction outside Hong Kong, China, in order to be eligible for Limited Registration. For details, please refer to the Dental Council of Hong Kong’s website at https://www.dchk.org.hk/en/registration/part_III.html.) The University only accepts online applications for the above post. Applicants should apply online at the University’s career site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from April 30, 2026 and continue until May 16, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency