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Research Associate
2 weeks ago
Adam Danyleyko, Product Owner, Advanced Technology How to Apply - **A comprehensive Curriculum Vitae (CV)**: - **A Cover Letter**: - **An Executive Brief outlining your insights or research interests within one of the four priority areas, addressing "what if" questions (More info below) (Please append your executive brief to your CV)**: - **Three samples of your writing - 2 x academic, 1 professional for a non-technical audience (Please append your three writing samples to your CV)** About the Role This position guides the identification, definition, and exploration of novel AI concepts, contributing to the development of early insights and potential pathways for commercialization. The Research Associate explores research questions, develops theoretical and practical approaches, identifies when additional investigation is needed, and evaluates the impact of their findings. The position focuses on achieving excellence in three main accountabilities: - Research &ML Expertise: Dive into cutting-edge AI research, explore "what if" scenarios, and generate novel insights that push the boundaries of the field. - Collaboration & Dissemination: Facilitate effective collaboration with domain experts and ensure the impactful dissemination of research findings and assets to relevant stakeholders and a broader audience. Required Skills / Expertise Key Responsibilities: Research &ML Expertise - Leverage deep ML expertise to conduct comprehensive and critical syntheses of published research within a specific AI topic, subfield, or problem for the review paper. - Act as a domain translator, effectively communicating complex AI/ML concepts and their implications to both technical and non-technical stakeholders in the context of the review paper and its findings Collaboration & Dissemination - Facilitate regular interactions and mentorship opportunities with identified domain experts. - Collaborate with stakeholders and peers to ensure effective cross-functional teamwork in program execution. - Present research findings and insights to relevant stakeholders, including potential commercial partners, researchers, and the wider community. - Engage in dissemination activities to share research and insights with a wider audience, utilizing an AI literacy approach to reach AI Curious, AI Users, AI Builders, and AI Leaders. - Contribute to a positive team environment by actively participating in meetings, brainstorming sessions, and activities. Knowledge Creation - Develop, review and release a comprehensive review paper, strategically designed to highlight potential research directions, commercial partnerships and startup creation opportunities. - Produce various AI literacy assets, such as guides, tutorials, case studies, or workshops, designed to translate complex AI/ML concepts into accessible learning materials for diverse audiences (e.g., AI Curious, AI Users, AI Builders, and AI Leaders). - Prepare a final report or presentation that summarizes the work and potential impact of the program and its outputs. - Ensure the Principled AI Framework is integrated into all projects, promoting the ethical development and use of AI. Qualifications: - Master's in Computer Science with a specialization in Machine Learning or equivalent relevant applied experience in Machine Learning - 2+ years of experience developing, training, and evaluating machine learning models in an applied industry setting or academic setting - Proficient in Python, experience in other programming languages i.e. Java or SQL (nice to have) - Proficient with machine learning tools and frameworks such as Scikit-learn, Pytorch/Tensorflow, Pandas, lightgbm/XGBoost, and SciPy - Ability to communicate technical topics with a non-technical audience - Understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning - Experience in a client-facing role and comfortable working with stakeholders at all levels - Publication record in peer-reviewed academic conferences or relevant journals (nice to have) Knowledge, Skills and Abilities: - Organizational and time management skills, with the ability to prioritize and manage multiple projects simultaneously - Exceptional communication and interpersonal skills, with the ability to effectively communicate with technical and non-technical stakeholders - Demonstrates a positive, group-win approach and a willingness to help, learn, and share - Collaborates with staff and experts, seeking input and support as needed - Demonstrates independence, self-confidence, sound judgment, and superior problem-solving abilities - Able to identify gaps in knowledge and triage their own learning appropriately - Promotes high-level cross-functional collaboration and establishes credibility while influencing peers to achieve common goals “What If” Scenarios "What if" scenarios involve posing hypothetical changes to a situation's current state, assum
