Central University of Jammu

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.

Description The Center of Artificial Intelligence and Robotics (CAIR) at New York University Abu Dhabi seeks to appoint an Associate Research Scientist. Motivated applicants with a strong background in Machine Learning, Robotics, Haptics, and interest in leading cross-disciplinary research to study multimodal interaction are encouraged to apply. Applicants must have received a Ph.D. in electrical engineering, computer engineering, computer science or a related field by the time they join, and at least three years of post-doctorate experience. Excellent communication skills in English, the ability to work in multi-disciplinary teams, and scientific creativity are essential.  NYUAD offers a stimulating research environment led by a distinguished research community and supported by state-of-the-art research facilities. The terms of employment are competitive and will include housing, travel 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 including a complete list of publications, transcript, statement of research interests, and at least two letters of recommendation, all in PDF format. For more information about the center, please visit our website: https://cair.nyuad.nyu.edu/ If you have any questions, please email Dr. Mohamad Eid: mae8@nyu.edu or Dr. Yi Fang yf23@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.

About Us ​​The Digital Health Hub Training Manager will play a key leadership role within the EPSRC-funded King’s Health Partners Digital Health Hub (KHP DHH), contributing to the professional services leadership of the Hub’s training arm. The role supports the delivery of skills development for individuals working at the healthcare-industry interface, fostering collaboration between digital innovators and the healthcare workforce to address real-world challenges in digital health. Sitting within a collaborative, multi-disciplinary environment, the Training Manager will work closely with colleagues across the Hub’s core pillars (Training, Co-design, Translation, and Acceleration) to ensure impactful and integrated training delivery aligned with the Hub’s overarching goals.  ​​About the role This role is an exciting opportunity to contribute to the professional services leadership of our EPSRC-funded King’s Health Partners Digital Health Hub (KHP DHH) as the Training Manager.  The training component of this Hub focuses on identifying and delivering the skills needed to train problem solvers who address real-life challenges at the healthcare–industry interface. The goal is to support the development of proactive individuals who can use relevant data and technologies to tackle real problems in digital health. Digital innovators and the healthcare workforce work together in a multi-disciplinary environment to develop safe and scalable solutions. The training arm of the Hub works collaboratively with the other Hub arms, including AI training, co-design strategies, entrepreneurship, industrial partner engagement, Patient and Public Involvement & Engagement (PPIE), digital health innovation, and the research pilots embedded in the Hub. The four core pillars are Training, Co-design, Translation & Acceleration.  Organised and delivery-focused, you will join an established team and bring experience in gathering, interpreting, and presenting data to demonstrate impact. Experience of matrix working would be beneficial, as the programme facilitates collaborative efforts to identify and overcome barriers to effective integration and translation across disciplines. You will work closely with subject matter experts and the learning technologist to maintain and enhance existing asynchronous training resources, as well as create new engaging materials for a range of audiences in digital health. The role also supports the delivery of in-person training, from advertising and bursary coordination to post-course feedback collection.  The successful candidate will collaborate with the learning technologist to understand the learning objectives of course participants and engage with supporters, patients, and the public in workshops led by participants. These workshops provide opportunities to share learning experiences and offer feedback on the structure and content of the taught material.  Onsite working will be required for effective collaboration across the Digital Health Hub, with the expectation that the successful candidate will work onsite at least three days per week.  This is a full time post (35 hours per week), and you will be offered ​a fixed term​ contract until 31.03.27. About You ​​To be successful in this role, we are looking for candidates to have the following skills and experience:  Essential criteria ​Strong project/programme management experience, including good IT skills (Microsoft suite). ​A degree in a science or health-related field, or relevant experience, and familiarity with medical/scientific/AI terminology. ​Customer focused, with excellent communication skills both verbal and written: ability to write coherently, and in good English, to a range of audiences across a range of academic disciplines. ​Proactive, ability to work independently, problem solve and use initiative. ​Experience of managing relationships with a range of stakeholders. ​Experience of impact/non-financial outcomes measurement, analysis and reporting ​Experience with communication strategies, such as effective use of social media and websites ​Budget management experience.  ​Desirable criteria ​Knowledge of AI, and knowledge of evaluation and impact measurement techniques and analysis. ​Marketing and market research experience. ​Experience of designing or commissioning education or learning events. ​Web design and UX skills. ​Line management experience and experience of matrix working. ​Downloading a copy of our Job Description ​Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.  Further Information ​​We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. ​We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. ​As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.  ​We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £53,947 - £63,350 per annum, including London Weighting Allowance Job ID: 134826 Close Date: 11-Jan-2026 Contact Person: ​Professor Rebecca Oakey Contact Details: Rebecca.oakey@kcl.ac.uk​