Minghsin University of Science and Technology

About the University of Bristol: The University of Bristol’s Mumbai campus is an innovative extension of its prestigious UK counterpart, established to promote academic excellence, global collaboration, and impactful industry engagement in one of the world’s most dynamic financial hubs. The campus offers a truly international and cross-cultural academic environment, combining the University’s rigorous academic traditions with the fast-evolving Indian and South Asian business landscape. As part of a growing global network, the Mumbai campus serves as a hub for interdisciplinary learning, applied research, and thought leadership. Faculty members enjoy access to global partnerships, collaborative research opportunities, and the ability to contribute to high-impact academic programmes that prepare students to meet the challenges of an interconnected world. Main Job Purpose The candidate will contribute to the delivery of high-quality teaching, assessment, and dissertation supervision in Data Science / Statistics, at the UG level. The main area of interest is Data Science / Statistics. Main Responsibilities Teaching Responsibilities Teaching at Undergraduate and Postgraduate including assisting with lectures, tutoring, seminars. and computer lab sessions. Acting as a personal tutor to undergraduate and postgraduate students. Supervising UG/MSc dissertations in the relevant area. Marking exams and coursework papers for graduate and undergraduate students; with Curriculum development/enhancement in line with the school ambition/strategy. Actively contributing to the function of the school by attending meetings and seminars and undertaking administrative duties assigned by the Head of School. Proactive approach to professional development and scholarship. Administration Responsibilities If needed, fulfilling the role of unit/course director or aiding unit/course director in the administration, development, and teaching of the relevant unit. Responsibilities are likely to include administering graduate and undergraduate degree programmes (Financial Technology or similar, including new programme development, promotion and admissions; organising and monitoring delivery of units; overseeing the welfare of students; liaising with external examiners; and/or reviewing and revising programmes in accordance with school and faculty policy. Making a wider contribution to the success of the University from their participation in faculty and University wide governance and development activities. Other leadership and administrative duties as assigned by the Head of Group. Relationships Line manager: Assistant Professor Line manager to (where appropriate): Not applicable. Internal Contacts: School and faculty staff School undergraduate and postgraduate students Staff and students in the wider university. External Contacts: Research collaborators. Dissertation supervisors. External Partner Organisations. PERSON SPECIFICATION Relevant Experience, Skills and Knowledge Evidence of experience and ability to teach effectively at undergraduate and master's levels in a relevant discipline, including in small-group and/ or lecture settings. Evidence of a proactive approach to teaching and student engagement. Evidence of taking initiative to improve students’ learning. Evidence of excellent organisational and administrative skills. Experience of effectively supervising undergraduate and masters’ projects and dissertations. Evidence of responsibility for planning your own professional development. Evidence of ability to contribute effectively to the administration and management of the department, school and faculty. Evidence of leadership responsibility in teaching and learning (e.g. leading new courses/programmes and personal tutor role). Relevant Qualifications A Doctorate (e.g. PhD or expected to be completed by the start of appointment) in an appropriate discipline, which fits with teaching specialism/s. HE teaching qualification. Links with accreditation bodies. Digital/Blended learning experience Communication and Interpersonal Skills Excellent interpersonal skills for collaborative working. The ability to communicate effectively both orally and in writing to different audiences. Flexibility and ability to adapt to changing circumstances. Additional Criteria Use of digital learning and collaboration tools and software, e.g. Key languages are R, C++ and Python. For any queries related to your application, email at careers@daskalos.com

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. Job Purpose The Research Fellow will lead the development of a Surface-Enhanced Raman Spectroscopy (SERS) biosensor platform for rapid detection of microbial bioburden in biopharmaceutical cleaning validation processes. The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems for real-time monitoring of cleaning validation washout fluids. Opportunities to contribute to patent filings, translational research, and commercialization pathways will be available. Key Responsibilities Technical Responsibilities Design and screen high-affinity ssDNA aptamers targeting environmental microorganisms listed in the US Pharmacopeia. Develop nanoparticle-based SERS substrates (Ag/Au nanoclusters) for enhanced Raman signal detection. Design and fabricate microfluidic sensing interfaces for continuous monitoring of cleaning validation fluids. Perform sensor validation using Raman spectroscopy, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods.  Research & Project Responsibilities Plan and execute experimental workflows to achieve project milestones. Lead prototype development and performance optimization of the SERS biosensor system. Communicate research outcomes through technical reports, conference presentations, and scientific publications. Collaborate with industry partners and interdisciplinary research teams where applicable.  Operational Responsibilities Conduct risk assessments and ensure compliance with Work Safety and Health (WSH) regulations. Manage procurement of specialized equipment and research consumables.  Mentorship Mentor research engineers, graduate students, and undergraduate researchers. Contribute to training activities within the research group. Others To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor.  Job Requirements Essential PhD in Bioengineering, Chemical Engineering, Materials Science, Nanotechnology, Analytical Chemistry, or related fields. Strong publication record in biosensors, nanomaterials, Raman spectroscopy, or microfluidics. Demonstrated experience in nanoparticle-based biosensor development or SERS sensing platforms. Proficiency in CAD software (e.g., SolidWorks) for microfluidic device design. Experience with Raman spectroscopy instrumentation and spectral data analysis.  Preferred Experience in microfluidic chip fabrication (soft lithography, PDMS, or micro-machining). Experience with aptamer selection or molecular recognition elements. Experience applying machine learning to spectral data (Raman, LC–MS, or similar). Experience working on translational or industry-linked research projects.

Department: Electronic Engineering Vacancy ID: 041023 Closing Date: 30-Apr-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. The Senior Research Assistant on the AI Sprayer project plays a key technical and team leadership role, primarily focused on advancing the system's computer vision pipeline, including visual odometry and plant-species-level detection capabilities. Their work involves enhancing the existing deep learning models to ensure high detection accuracy and improve navigation within open-field environments. This person will also be responsible for the mechatronic aspects of the project, such as the upgrade of the drive controller, optimising nozzle resolution, operating speed, and dosing consistency, while ensuring the seamless integration of the weeding system with the CALLAN mobile field-robot platform. The person will also provide a team leadership role in leading a team of students and interns who are contributing to the project. This will involve training individual team members, scheduling, coordinating and monitoring work on the project. Salary: Research Assistant Level 2 (2026): €38,674 – €42,799 p.a. (Points 1-6) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Thursday, 30th April 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University