Michigan State University

Department: Student Skills & Success Vacancy ID: 041823​​​​​​​ Closing Date: 03-Jun-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. We are seeking a Student Success Executive Assistant who will provide a welcoming, professional, and student‑centred front of house service within the Student Success Hub. As the first point of contact for students and staff, the postholder will support effective access to Student Skills and Success services through high‑quality reception, administrative coordination, and operational support. Salary: Executive Assistant (2026): €32,530 – €48,930 p.a. (13 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Wednesday 3rd of June 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

School - School of Computer science and Engineering  Experience - 4 years - 8 years  Assistant Professor /Associate Professor Location - Bangalore Key Responsibilities Deliver high-quality teaching at undergraduate and postgraduate levels in CSE. Supervise student projects, internships, and dissertations. Undertake independent and collaborative research leading to high-impact publications. Develop funded research/consultancy projects in collaboration with industry and government agencies. Mentor students in academic, research, and career development activities. Contribute to curriculum design, academic planning, and continuous improvement initiatives. Engage in departmental/University committees and professional activities.  Eligibility & Qualifications Ph.D. in Computer Science & Engineering (mandatory for Associate Professor/Professor positions).  First-class M.Tech in CSE (mandatory for Assistant Professor). Demonstrated teaching/research experience at a recognized institution. Strong research record with publications in reputed journals/conferences (SCI/Scopus indexed preferred). Ability to attract external funding and build collaborations with academia/industry. Excellent communication  Please Note - Immediate Joiners / 30 days' Notice period candidates most preferable .

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 primary responsibility of this role is to deliver on an academic research project funded by BCA. The project is in collaboration with IHL and an industry partner. where you will be part of the research team to develop and demonstrate Building-to-Grid Integration through Intelligent Optimization and Predictive Control at SIT’s Punggol campus. Under this job title, you will be required to establish a test bed in SIT’s Punggol campus building, benchmarking of current building energy performances, deployment of new sensors & hardware, and quantitative evaluation of energy savings. You will be required to coordinate with multiple internal and external parties for the successful deployment of technology, test-bedding, and energy performance evaluation. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Candidate will be required to establish test bed in SIT’s Punggol campus building, benchmarking of current building energy performances, deployment of new sensors, hardware, quantitative evaluation of energy savings, etc. Meeting the deliverables by deployment, demonstration, and experimental studies planned for under the scope of work of the projects within the timeframe to meet the deliverables. Coordination with project internal and external team members, vendors, contractors, safety officers, for successful deployment of technology and testing. Assists in the co-supervision of final year projects (FYP) or capstone projects students under the Project PI. Assists the PI in drafting project reports, conference proceedings, and journal articles based on the outcome of the projects. Prepares and shares a fortnightly report of results from the computations with the PI. Carry out Risk Assessment, and ensure compliance with Work, Safety, and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD degree in electrical/civil/mechanical engineering or other related fields Expert knowledge of building air-conditioning and mechanical ventilation, simulation, building automation and control, sensor network, thermal energy storage, indoor air quality, heat transfer, and building energy performance evaluation.  Experience of test bed setup development, testing & commissioning, and performance analysis. Knowledge of industrial protocols, sensors, and control hardware. Knowledge of building management systems, software integration, data collection, and analysis. Industry or research lab experience is required. Strong analytical and conceptual abilities. Ability to work in a team as well as independently. Able to work under pressure and meet deadlines. Key Competencies  Able to build and maintain strong working relationships with people within and external to the university. Able to work independently with strong data analytical skills, communication and interpersonal skills. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work