Dr. M.G.R. Educational and Research Institute
About Dr. M.G.R. Educational and Research Institute
Basic information and contact details for Dr. M.G.R. Educational and Research Institute
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Key Student Statistics
A breakdown of student statistics at Dr. M.G.R. Educational and Research Institute
- Student gender ratio
- 35 F : 65 M (1)
- International student percentage
- 0% (1)
- Students per staff
- 12.8 (1)
- Student total
- 31849 (1)
Based on data collected for the (1) World University Rankings 2026
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University of East London
United Kingdom, London
University of East London
United Kingdom, London
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We’re an inclusive and welcoming community that is constantly moving forward, never satisfied with the status quo. About Us Social Work provision at the School of Childhood and Social Care at the University of East London is situated within one of the most diverse and dynamic regions of the UK. Our courses are professionally accredited, practice-focused, and rooted in a strong commitment to social justice, critical thinking, and community engagement. We work closely with local authorities, practice partners, and regional organisations across East London and beyond to prepare students for the complexities of contemporary social work practice. Our teaching is informed by current research, professional standards, and the lived realities of the communities our students will serve. As a School, we are committed to creating an inclusive, collegial, and intellectually supportive environment for both students and staff. We welcome applicants who value diversity, understand the importance of widening participation in higher education, and are committed to enhancing the student experience within a multicultural learning environment. About the Job We are seeking a Lecturer in Social Work (0.4 FTE) to contribute to teaching, student support, and the continued development of our undergraduate and postgraduate Social Work provision. The successful candidate will join a collaborative team of academics and practitioners committed to delivering high-quality, professionally relevant education. 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Flinders University
Australia, Bedford Park
Flinders University
Australia, Bedford Park
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Reaching beyond the limits of buildings, borders, and backgrounds, ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders? 17% Superannuation + salary packaging options Flexible working arrangements Our commitment to wellbeing through our Thriving@Flinders initiative Wide range of professional development activities and services, including exclusive staff study offers We embrace diversity and promote equity and inclusion for all students and staff, as shown through our four SAGE Cygnet Awards. Vibrant campus life and amenities including on campus health care services, gym and childcare centre(Bedford Park, South Australia). Our Commitment to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. 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$84,599 - $93,366 p.a.
Posted
27 May 2026
University Assistant Postdoctoral, Computer Science
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful impact? We are currently seeking a/an University Assistant postdoctoral 39 Faculty of Computer Science Startdate: 01.08.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.07.2032 Reference no.: 5682 The position can be filled either as a full-time position (40 hours) or split into two part-time positions (20 hours each). Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: The position is based in the newly established "Computer Science Education Group" (CSEG) within the Chair of "Didactics of Computer Science", headed by Mag. Dr.techn. Bernhard Standl, as part of the EDEN research group at the Faculty of Computer Science at the University of Vienna. The research focuses on the empirical investigation of teaching and learning processes in computer science education related to computational concepts and ways of thinking, particularly computational thinking, algorithms and modeling, programming, data and data-driven systems, as well as AI literacy in school and university contexts. A central component is the Computer Science Teaching and Learning Lab. There, computer science education teaching-learning designs are developed, tested, empirically investigated and refined in collaboration with students, teachers and schools. The postdoctoral position is designed as a research-intensive career-building role and offers the opportunity to further develop an independent research profile in computer science education, contribute to the design of externally funded projects and actively help build the research group. Your future tasks: Active participation in research, teaching & administration, which specifically means: You further develop your independent research profile in the field of computer science education and enhance your international academic visibility. You play a central role in the establishment, operational coordination and strategic development of the CSEG. You design, coordinate and lead empirical studies on computer science teaching and learning processes in the Computer Science Teaching and Learning Lab in schools and in university settings related to teacher education. You conduct research on computational thinking, instructional design for teaching and learning fundamental concepts in computer science, algorithms and modeling, programming, data and data-driven systems or AI literacy. You support pre-doctoral candidates as well as bachelor’s and master’s students with research designs, data collection, analysis and publication projects. You publish in internationally recognized journals and play a leading role in the development, submission and coordination of competitive third-party funded projects. 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Excellent written and spoken English skills, as well as German language skills sufficient for work in school and teacher education contexts or a willingness to develop these skills promptly. Ability to work in a team, strong communication skills, initiative and enthusiasm for building a new research group. Desirable qualifications include: Research experience in one or more of the aforementioned areas. Experience in school-related research or teacher education. Experience with design-based research, intervention studies, videography, interaction analysis, qualitative content analysis, statistical data analysis or comparable methodological approaches. Experience in securing external funding or in collaborating on externally funded projects. Teaching experience in a university setting, as well as experience supervising or co-supervising student theses. Interest in knowledge transfer activities, science communication and collaboration with schools and other stakeholders in the education system. Project management skills and organizational experience. What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement). Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fixed-term contract and fair salary: The basic salary of EUR 5.014,30 (full-time basis) (14 times a year) increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! 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We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 06/15/2026 Post Doc
Salary
The basic salary of EUR 5.014,30 (full-time basis)
Posted
28 May 2026
Post-doctoral Fellow in the Department of Microbiology, School of Clinical Medicine
The University of Hong Kong
Hong Kong
The University of Hong Kong
Hong Kong
Ref.: 536339 Work type: Full-time Department: Department of Microbiology, School of Clinical Medicine (20700) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow in the Department of Microbiology, School of Clinical Medicine (Ref.: 536339), to commence as soon as possible for one or two years, with the possibility of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree preferably in Bioinformatics or a related discipline. They should be highly competent in bulk RNA-seq and single-cell data analysis, and able to work independently and in a team. Preference will be given to those with work experience in immunology, AIDS and SARS-CoV-2. The appointee is expected to play an important role in the team on molecular mechanisms of protective immune responses during HIV infection or cancer immunotherapy. He/She will perform multiple types of sequencing data analysis and develop analytical tools in the field of immunology. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above post. Applicants should apply online, upload an up-to-date C.V., and the contact information of 3 referees. Review of applications will start as soon as possible and continue until July 31, 2026, or until the post is filled, whichever is earlier.
Salary
Competitive salary
Posted
27 May 2026
Assistant Professor / Associate Professor / Professor in Robotics and Embodied AI
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is expanding its Robotics and Embodied AI (EAI) capabilities, building a cohort of academic staff who are keen and experienced working on industry problems in relevant areas. At SIT, Robotics and Embodied AI faculty will have the opportunity to shape and lead applied research in a unique real-world environment. Located within Punggol Digital District (PDD), SIT’s purpose-built campus serves as a living lab for precinct-scale robotics test-bedding, where faculty can work with government and industry partners to develop, validate and deploy next-generation robotic systems safely and at scale. Candidates will contribute to industry-relevant research in embodied AI, simulation and digital twins, cybersecurity, robot operations and related areas, with a strong emphasis on translation into real-world applications. Through collaborations with leading robot companies and end-users, faculty will help solve practical deployment challenges, build shared digital infrastructure, and train the next generation of robotics talent for Singapore’s future economy. Responsibilities: Lead and contribute to applied research projects with industry partners and government agencies. Develop and teach Robotics and Embodied AI courses within the cluster’s programmes and across relevant interdisciplinary modules. Supervise Industry Doctorate/Masters and capstone projects in collaboration with domain faculty and industry partners. Contribute to SIT’s continuing education offerings. Serve as embodied AI mentor for existing SIT domain faculty through joint projects and co-supervision mechanisms. Qualifications: PhD in Robotics, Mechanical/Electronics Engineering, Computer Science, or a relevant domain with demonstrated embodied AI research experience. Equivalent industry experience may also be considered. Technical expertise and track record in the following areas (ideally at least two): Policy Learning and Robotics Control: Imitation / reinforcement learning, generative policies, residual learning, cross-embodiment generalisation. Robotics Data Engineering: Data capture, synchronisation, calibration, evaluation harnesses and simulation data pipelines Foundation Models & World Models for Robotics: VLA grounding, planning interfaces and world-model reasoning for robots State Estimation, Perception and Sensor Fusion: 3D scene understanding, diagnostics, active and manipulation-centric perception System Integration, Deployment & RobotOps: ROS2 systems integration, runtime robustness, safety and field deployment engineering Swarm Robotics & Multi-Agent Systems: Decentralised coordination, shared mapping and resilient communications Fleet Management & Remote Operations: Mission control, tele-operation, network resilience and lifecycle operations Cyber-Physical Security & Trustworthy Robotics: Threat modelling, resilience, incident response, AI ethics and data privacy Experience applying embodied AI to real-world use areas will be advantageous, such as (non-exhaustive): Facility Management Healthcare Advanced Manufacturing Urban Systems Biotechnology & Chemical Engineering Demonstrated leadership and evidence of working on industry/society-defined problems Strong connections with international partners and organisations will be advantageous. Experience with industry research collaborations, applied research grants, and/or system deployment Established thought leadership and/or professional standing e.g. publications in top journals and keynotes, in addition to non-publication outputs and impact such as open-source tools, technical reports, patents, deployed systems Demonstrated track record of cross-disciplinary collaborations Ability to communicate clearly with domain experts, industry practitioners and general public What SIT offers: An applied research environment, working together with industry partners, to tackle real-world problems SIT values applied research impact and evaluates faculty accordingly on how their research had made a difference to society or industry Opportunities to work on a coherent robotics & embodied AI research agenda with colleagues across disciplines Access to Punggol Digital District ecosystem as testbeds for applied research A meaningful role in building Singapore’s robotics & embodied AI research capability at a pivotal moment Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub How to apply: Candidates should submit the following: Curriculum vitae including grants, outputs (code, datasets, patents, technical disclosures) and publications Cover Letter Research statement (up to 2 pages) addressing your applied AI research programme, how it connects to SIT’s cluster context, and your experience with industry-connected research Teaching statement (up to 1 page) addressing your approach to applied learning Three highlights of research outputs with a brief explanation of each output’s impact
Salary
Competitive
Posted
27 May 2026
Subjects Taught at Dr. M.G.R. Educational and Research Institute
See below for a range of subjects taught at Dr. M.G.R. Educational and Research Institute
Arts and Humanities
- Architecture
- Art, Performing Art and Design
- Languages, Literature and Linguistics
Business and Economics
- Accounting and Finance
- Business and Management
Computer Science
- Computer Science
Education Studies
- Education
Engineering
- Chemical Engineering
- Civil Engineering
- Electrical and Electronic Engineering
- General Engineering
- Mechanical and Aerospace Engineering
Law
- Law
Life Sciences
- Biological Sciences
- Sport Science
Medical and Health
- Medicine and Dentistry
- Other Health
Physical Sciences
- Chemistry
- Geology, Environmental, Earth and Marine Sciences
- Mathematics and Statistics
- Physics and Astronomy
Psychology
- Psychology
Social Sciences
- Communication and Media Studies
- Politics and International Studies
- Sociology