Islamic Azad University, Najafabad Branch (IAUN)

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.

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 3,000 of them contribute to enabling excellent research and teaching through their expertise and work in administration and organisation. They know how they can work best. Flexible, remote and with as much freedom as they need to develop their potential. You know, too? We are seeking a/an Technician 47 Faculty of Psychology Startdate: 01.05.2026 | Working hours: 40 | Collective bargaining agreement: §54 VwGr. IIIb Limited until: 31.10.2026 Reference no.: 5513 The Faculty of Psychology is seeking to fill the position of a technician to oversee the transition of several research positions from the Vienna Cognitive Science Hub to the faculty. This cross-faculty and cross- departmental role is assigned to the Department of Cognition, Emotion, and Methods in Psychology. The advertised position is for 40 hours per week and is limited to 6 months. Your personal sphere of influence: The members of the Faculty of Psychology engage in research and teaching focused on describing and explaining human experience and behavior, as well as changes therein. Based on integrative and complementary research approaches from neuroscience, cognitive science, and the social sciences, the goal is to make theoretically grounded and empirically testable contributions to scientific knowledge and its transfer. The Department of Cognition, Emotion, and Methods in Psychology consists of approximately 100 staff members organized into eight research units with laboratories equipped with EEG, fNIRS, VR, eye-tracking, physiology, and brain stimulation systems. Our international team places great value on respectful interaction and independent work. Your future tasks: Supporting the transition of researchers from the Vienna Cognitive Science Hub to the Faculty of Psychology as a replacement for the previous technical support provided by a data scientist. Transfer of collected scientific data, data backup/cloud-based infrastructure for collected data and study-related products. Assisting with the organization and post-processing of collected raw data for use in ongoing projects within the context of the Study Participant Platform (SPP). In particular, advanced statistical analysis methods (latent profile analysis, network analysis) and statistical software packages will be utilized. Administrative support for managing specialized software and transferring/developing analyses to open-source software. Support in presenting research on the Vienna CogSci Hub’s Transition website. This is part of your personality: General or vocational secondary school (upper level) Programming skills: R, SPSS required; MatLab, MPlus, etc. are a plus Excellent written and spoken English Excellent communication skills and strong verbal and written expression Knowledge of latent profile analysis and network analysis is a plus Knowledge of eye-tracking and fNIRS is a plus Knowledge of project management and field studies is a plus Research experience in experimental/empirical methods is a plus You should be a team player What we offer: Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement). Inspiring working atmosphere: You are part of a committed team with diverse university backgrounds in a relaxed work environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Internal further training: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: Salary will be paid in accordance with the Collective Bargaining Agreement of the University of Vienna. The basic salary of EUR 3,131.30 (III b) based on full-time employment, paid 14 times per year, increases based on professional experience. The advertised position is for 40 hours per week and is limited to 6 months.  Equal opportunities for all: We welcome every additional/new personality to the team! It’s that easy to apply: With your CV & letter of motivation (max. 2 pages) Certificates Via our job portal / apply button If you have any content questions, please contact: Matthew Pelowski matthew.pelowski@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. 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: 04/10/2026 Laboratory & Technology

Ref.: 534801 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for a joint Post-doctoral Researcher in the Faculty of Social Sciences (FOSS) at The University of Hong Kong (HKU) and Institute for Social Research (ISR) at University of Michigan (U of Michigan) (Ref: 534801), to commence as soon as possible, on a temporary term of one year, with the potential for a second year in ISR at U of Michigan. Background The Faculty of Social Sciences and Institute for Social Research are collaborating to foster cutting-edge areas in social sciences research. This joint post-doctoral researcher aims to support the next generation of leading social sciences researchers, by enabling them to develop a range of research skills in different contexts, working with mentors with different disciplinary and substantive expertise in the social sciences. The successful candidate will have the chance to work with leading researchers (mentors) in both FOSS and ISR to develop his/her research ideas and skills for a future career in academia or another research setting. He/She will work at HKU in the first year and is expected to spend the second year at U Michigan. He/She will be required to complete the necessary administration procedures (including recruitment, visa application) for taking up an appointment at U of Michigan, pursuant to relevant terms of employment. Duties and Responsibilities Produce high quality research on the research priorities and clusters of both FOSS (HKU) and ISR (Michigan) Support FOSS and ISR colleagues in research dissemination events Assist FOSS and ISR colleagues in the preparation of research reports Perform other research related duties for FoSS and ISR Requirements a Ph.D. degree in social sciences discipline from a recognized university, awarded within the past three calendar years, or expected to obtain a Ph.D. degree by the start of the fellowship (no later than December 1, 2026). Documentary proof of qualification may be required an outstanding record of research performance, with a research area that aligns with the focus of FOSS (HKU) and ISR (Michigan) good interpersonal, communication, organizational and problem-solving skills the ability to work under tight schedule to meet project deadlines the capability to work both independently and as part of a team experience with advanced social sciences research methods Applicants should indicate which mentors from FOSS (HKU) and ISR (Michigan) they could work with. There is no need to get their interest and support in mentoring before making application What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave, medical benefits, etc. How to Apply The University only accepts online application for the above post. Applicants should apply online and upload the following documents at the University’s Careers site (https://jobs.hku.hk). A thesis abstract (up to 1 A4 page); A brief cover letter addressing the job requirements (up to 2 A4 pages); A key research output (if available); A research proposal (up to 2 A4 pages); A brief Curriculum Vitae (up to 2 A4 pages); Letters of support from the mentors (one from each of FOSS and ISR); and Names and contact details of three references, including one from their Ph.D. supervisor/advisor. Review of applications will start as soon as possible and continue until April 30, 2026 or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency