GITAM University

Description Mubadala Arabian Center for Climate and Environmental Sciences (ACCESS) at New York University Abu Dhabi, seeks to recruit an Associate Research Scientist to investigate the molecular and genomic mechanisms underpinning the extraordinary heat tolerance of Arabian Gulf corals, the most thermally resilient corals on Earth. The successful candidate will lead an ambitious research program focused on understanding how individual corals and populations vary in their responses to heat stress. This work will involve the application of genomic and gene expression profiling, as well as eco-physiological assays, to reveal the mechanistic basis of thermal resilience. The position is uniquely placed to bridge fundamental molecular research with applied conservation through close collaboration with another postdoctoral researcher who is leading a selective breeding program for heat-tolerant corals. Together, these efforts will support the development of robust coral populations capable of withstanding intensifying climate-related stressors. Applicants must hold a PhD in biological sciences, molecular ecology, genetics, or a related field, completed by January 2024. They must also possess advanced SCUBA certification with demonstrated research-diving experience, as well as strong proficiency in molecular biology, genetics, bioinformatics, and statistical analysis. Experience conducting coral heat-stress assays and a record of first-author publications relevant to the field are essential. Preferred qualifications include a driver’s license in the applicant’s home country, boat-operator certification, and scientific diver credentials such as AAUS certification. Additional assets include experience with other omics approaches or epigenetics, advanced coding skills in R or Python, and prior supervisory experience with students or research staff. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript, statement of research interests and three letters of reference, all in PDF format. If you have any questions, please email Kelly Bradham at kelly.bradham@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. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email: mrasras@nyu.edu. About NYU Abu Dhabi 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. UAE Nationals are encouraged to apply.

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Postdoctoral Fellow - Frontier of AI driven Inverse Design of Functional Materials Wu Jieh Yee School of Interdisciplinary Studies (Post Ref.: 25/176) Professor Xi Chen, Dean of the Wu Jieh Yee School of Interdisciplinary Studies and Chair Professor of Interdisciplinary Studies, leads an interdisciplinary team working at the frontier of AI driven inverse design of functional materials. Current research directions include: Reversible material representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next generation functional materials (e.g. energy, sustainability) The group partners closely with leading institutes in Hong Kong, Shenzhen, and worldwide, offering an exciting, collaborative research environment. The appointee will work as part of the team. This involves (1) conducting independent and collaborative research leading to publications in top tier journals and conferences; (2) contributing to grant proposal writing and collaborative projects; and (3) mentoring junior researchers and assisting with laboratory management. Requirements The candidate should have obtained / been conferred a PhD degree or an equivalent qualification in Materials Science, Mechanical / Applied Mechanics, Physics, Computer Science, Data Science, or a closely related field for no more than three years prior to the commencement of the appointment. The candidates should have a strong track record in at least one of the group’s research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent command of written and spoken English and demonstrate the ability to work independently as well as part of a multidisciplinary team. Appointment The conditions of appointment will be competitive. Commencing salary will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, and incoming passage and baggage allowance for the eligible appointee. The appointment will normally be made on an initial contract of up to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. The review of applications will start and continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

The SIT x NVIDIA AI Centre (SNAIC) is seeking a business-driven professional to lead industry partnerships and growth initiatives that expand the Centre’s commercial and strategic footprint. The role is responsible for identifying high-value collaboration opportunities, shaping business models for applied AI projects, and securing funding or co-development commitments that contribute to SNAIC’s long-term sustainability. Working at the intersection of technology and business, this role acts as SNAIC’s front-facing dealmaker, translating market demand, ecosystem signals, and AI innovation into viable partnerships across areas such as Generative AI, Large Language Models, Computer Vision, Digital Twins, and Multimodal AI. Success in this role requires strong commercial instincts, the ability to engage both technical and executive stakeholders, and the discipline to drive opportunities from early exploration through signed agreements and delivery. Key Responsibilities  1. Industry Engagement & Business Development Identify, qualify, and engage potential industry, government, and ecosystem partners for applied AI collaboration opportunities. Drive the deal process from initial discussion through to agreement. Manage active partnership accounts and track delivery milestones to ensure commitments, timelines, and outputs are met. 2. Marketing, Outreach & Positioning Contribute to industry events, workshops, showcases, and demos that strengthen SNAIC’s visibility and lead generation. Support development of partnership assets such as case studies, pitch decks, project proposals, and success stories. Work with internal teams to amplify SNAIC’s applied AI capabilities to targeted sectors and communities. 3. Data, Reporting & Pipeline Management Maintain an up-to-date CRM pipeline of leads, partners, proposals, and project statuses. Generate periodic dashboards and management reports on engagement performance, deal progress, and partnership outcomes. Ensure data accuracy and traceability across all stages of the partnership lifecycle. Job Requirement  Bachelor's degree in Business, Computer Science, Engineering, Data/AI, or a related field. 2–5 years of experience in business development, partnerships, innovation projects, or roles involving both technical and commercial stakeholders. Comfortable working with both technical and non-technical stakeholders, ideally in a cross-functional environment. Working understanding of AI concepts, use cases, and industry trends, with interest in areas such as Generative AI, LLMs, Computer Vision, or Digital Twins. Exposure to NVIDIA’s AI ecosystem (e.g., Omniverse, CUDA, DGX, NGC) is a plus, but not required. Strong communication and relationship management skills, able to engage industry partners and internal stakeholders confidently. Good writing and presentation abilities for proposals, pitch decks, and briefing materials. Organised, proactive, and able to manage multiple partnership pipelines, timelines, and reporting needs. Comfortable using CRM tools, dashboards, or project tracking systems. Key Competencies Understanding of AI and emerging technologies. Excellent stakeholder management and communication skills, able to liaise confidently with both engineers and executives. Strong proposal writing, pitch deck creation, and presentation skills; able to tailor messaging for both technical and executive audiences. Able to interpret partner needs and convert them into feasible project scopes, requirements, or collaboration models. Organized, proactive, and able to manage multiple projects concurrently. Comfortable with CRM tools and project tracking. Takes ownership of tasks, anticipates next steps, and moves opportunities forward without waiting for instructions.