Government College University Hyderabad
About Government College University Hyderabad
Basic information and contact details for Government College University Hyderabad
Impact Rankings
Select the type of ranking below to see stats
Discover similar universities
Find out more about studying, research and jobs at these universities
suggested
Jobs you might be interested in
You may want to explore jobs from other universities which are relevant to you
See all
Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering)
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: multi-modal learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised learning, and federated learning. The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare; Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA); Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; Assist the supervisor in the preparation of grant applications (as appropriate); And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Training & professional development* Attend trainings and workshops for career development; Mentor PhD students and undergraduate research assistants (as appropriate); Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee; Gain experience in applying for local research grants (subject to eligibility); And transition to independence to pursue a career of choosing following the appointment. * The researcher will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Doctoral research conducted in the area of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), a transcript or degree, and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYU Abu Dhab https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD
Salary
Competitive
Posted
11 Jun 2026
Business Development Manager
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
About RoboPrecinct@PDD SmartPrecinct@PDD initiative aims to develop a precinct-scale robotics and embodied AI ecosystem at Punggol Digital District (PDD). The programme establishes shared digital infrastructure, regulatory frameworks (including cybersecurity and safety), embodied AI capabilities, industry collaborations, and real-world test-bedding environments to enable safe and scaled deployment of robots in PDD. The Business Development Manager will drive industry engagement and partnership development to attract companies to participate in robotics test-bedding and applied research collaborations. Key Responsibilities Industry engagement and partnership development Identify and engage robotics companies, technology providers, startups, and research partners to participate in the SmartPrecinct@PDD programme. Work closely with technical teams to identify industry use cases aligned with the SmartPrecinct infrastructure and capabilities. Support the development of joint projects between SIT and industry partners; prepare collaboration contracts/agreements and support the onboarding process for companies joining the SmartPrecinct ecosystem. Support reporting and documentation of industry partnerships and collaboration outcomes. Marketing and outreach Develop branding and marketing initiatives to promote SmartPrecinct and create industry outreach opportunities. Organise industry engagement activities such as workshops, industry forums, and networking events. Requirements Minimum Bachelor’s degree in engineering, robotics, AI, cybersecurity, business, or other related fields. Ideally 5+ years of relevant experience in business development, innovation partnerships, or technology ecosystem development. Strong networking and relationship-building capabilities. Experience working with government programmes or public-sector innovation initiatives is advantageous. Excellent communication, negotiation, and stakeholder management skills. Note: The incumbent will be appointed as Research Engineer/Research Fellow if successful.
Salary
Competitive
Posted
11 Jun 2026
Research Engineer/Research Fellow (LLM/VLM, Media Comparison, AI-Assisted Explainability) - IM
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
As Singapore’s University for Industry, SIT works closely with industry partners 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. The primary responsibility of this position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: LLM/VLM, media comparison, AI-assisted explainability. The need is for a real-time system, so efficient coding is important. Key Responsibilities: Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met. Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications. Deliver solution-ready demonstration code. Interact well within the team and the customers. Be self-directed to fulfil the project requirements. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image processing is required. Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI. Experience of authoring good quality academic publications. Manage undergraduate research assistants (if appropriate). Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China. Key Competencies: A self-directed worker who believes in continuous learning and development Proficient in academic writing Possess good critical thinking skills Show strong initiative and take ownership of work Interest in AI, machine learning, image/audio processing
Salary
Competitive
Posted
11 Jun 2026
Senior Lecturer - Exercise and Sport Sciences
The University of Sydney
Australia, Camperdown
The University of Sydney
Australia, Camperdown
Full time continuing position available Exciting opportunity for a Lecturer to contribute to teaching and research within the Discipline of Exercise and Sport Sciences and the Sydney School of Health Sciences Base Salary ranging from $127,436- $179,998 + 17% superannuation About the opportunity The Sydney School of Health Sciences is experiencing significant growth and investment as part of the Faculty of Medicine and Health's strategic vision. We are seeking a Lecturer/ Senior Lecturer (level B/ C) with expertise in biomechanics of sport and exercise to contribute their learnings through research and scholarly activity to inform their education and research practice. They will make significant contribution to teaching and learning practice, design and evaluation while continuing to build their research contribution, expertise, and impact. The Sydney School of health Sciences is ranked 4th in the world for sports related subjects encompassing sport, physical therapy and rehabilitation. In addition, The University of Sydney is ranked 18th in the world overall and 3nd in Australia in a wide range of disciplines, our excellence in research, teaching and sustainability makes us one of the top universities in Australia. The incumbent will be committed to make significant contributions to teaching and learning and engage in educational leadership within their School/ Faculty. This is a continuing 40% (teaching), 40% (research), and 20% (service) position, and offers an opportunity to develop and contribute to research and teaching in occupational therapy as part of a multi-disciplinary team at the Faculty of Medicine and Health Your key responsibilities will be to: Undertake a leadership role in educational innovation, curriculum design and review, contributing to outstanding educational delivery and outcomes Engage in high-quality teaching and learning experiences which meet the University's expectations and standards for education Contribute to the School's research activities, expertise, and impact Engage in supervision of higher-degree research students Establish collaborations and partnerships to enhance the research profile and reputation of the university Carry out administrative tasks primarily connected with the area of discipline Contribute to a positive workplace culture in which diversity of thought, contribution, collaboration, excellence and achieving outcomes are valued and enabled Undertake other duties appropriate within the classification level as required. In addition, level C will: Be a subject matter expert, who can work under broad direction to deliver goals strategically and autonomously within set timeframes Resolve complex matters, provide sound advice and exercise independent judgement to achieve goals related to teaching and research Be able to take on staffing responsibilities as appropriate or determine resourcing needs. About you A PhD in a relevant discipline Current professional registration/accreditation with Exercise & Sport Science Australia (ESSA) is desirable Strong research profile evidenced by original, high-quality research. Proven experience in supervising and mentoring students. Teaching experience in biomechanics including course design, coordination, delivery, and assessment Demonstrated success in designing, implementing and evaluating teaching and learning initiatives Experience in supervising or mentoring others and/or coordinating team activities A developing knowledge and understanding of the key strategic issues in the discipline and higher education sector Demonstrated ability to foster inclusive, equitable and respectful learning environments. In addition level C must: Proven reputation at a national level as influential in expanding knowledge, pedagogical or curriculum innovation. An established network of academic, industry and professional partners and stakeholders. Developed knowledge and understanding of the key strategic issues in the discipline and higher education sector Significant experience conducting original research and engaging in scholarly activity. Sponsorship / work rights for Australia For a continuing position, you must be an Australian or New Zealand citizen or an Australian Permanent Resident. Australian Temporary Residents currently employed at the University of Sydney may be considered for a fixed term contract for the length of their visa, depending on the requirements of the hiring area and the position. Pre-employment checks Your employment is conditional upon the completion of all role-required pre-employment or background checks satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary steps, including the termination of your employment. EEO statement The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged. How to apply Applications (including a cover letter addressing the criteria in the About you section, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. To submit an application for this role please provide the following information: A cover letter which includes a written response to selection criteria addressing your ability to meet the requirements outlined above within the context of the key responsibilities of the role and relevant discipline (maximum 1000 words). Your current CV or resume, including two referees. Please ensure your cover letter is clear, concise, addressing the selection criteria and states the type of employment in which you are applying. For employees of the University or contingent workers, please log in to your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Rachel Ann Yazigi, Recruitment Operations, by email to rachel.yazigi@sydney.edu.au or Kate Edwards kate.edwards@sydney.edu.au. Please include the job requisition number in all correspondence. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Sunday 05 July 2026 11:59 PM
Salary
$127,436 - $179,998 + 17% superannuation
Posted
11 Jun 2026
Research Assistant (in Spinal Sarcopenia in Older Adults) - ZWH
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Health and Social Sciences Cluster Singapore Institute of Technology We are seeking a motivated and capable Research Assistant to join an exciting translational research project on spinal sarcopenia in older adults, with a focus on muscle degeneration, senescent progenitors, and regenerative failure. This role offers a unique opportunity to work across clinical research, functional assessment, imaging analysis, and laboratory investigation in a multidisciplinary academic environment. The successful candidate will support a funded research project that aims to generate clinically relevant insights into ageing, muscle health, and spine-related conditions. This is an excellent opportunity for candidates who are passionate about meaningful research and wish to build strong experience in applied human and translational studies. Key Responsibilities Support the Principal Investigator and research team in the implementation and coordination of the project Assist with participant recruitment, scheduling, follow-up, and study administration in accordance with approved ethics protocols Conduct and document functional assessments and study-related data collection Retrieve, organise, and manage imaging data, and assist with image-based analysis Support laboratory workflows such as tissue handling, histology, immunofluorescence, qPCR, ELISA, and related analyses Maintain accurate databases, study records, and project documentation Assist with literature review, data cleaning, preliminary analysis preparation, reporting, and regulatory submissions Coordinate procurement of reagents, consumables, and research-related items Ensure compliance with laboratory safety, biosafety, and institutional research governance requirements Job Requirements Bachelor’s degree in biomedical science, life sciences, physiotherapy, diagnostic radiography, medical laboratory science, or a related discipline Strong interest in translational, musculoskeletal, ageing, or clinical research Experience in clinical research coordination, patient-facing data collection, imaging analysis, or laboratory techniques will be advantageous Familiarity with histology, microscopy, immunofluorescence, molecular assays, or tissue-based workflows is preferred Good written and verbal communication skills Strong organisational skills, attention to detail, and professionalism Proficiency in Microsoft Office; familiarity with ImageJ, SPSS, STATA, or equivalent tools is an advantage Key Attributes Motivated, responsible, and able to work independently Careful and accurate in handling data, samples, and documentation Strong team player who can work effectively with academic, clinical, and student collaborators Willingness to learn and adapt in a dynamic multidisciplinary research environment Why Join Us This role offers valuable exposure to clinically relevant translational research with opportunities to develop experience in human studies, imaging, laboratory science, and multidisciplinary collaboration. The successful candidate will contribute to a meaningful project with real-world healthcare relevance while building a strong foundation for future research or postgraduate opportunities. Contract Type 1-year contract Work Location Singapore Institute of Technology, with project activities at SIT and partner sites as required.
Salary
Competitive
Posted
11 Jun 2026
