Coord, Engineering Research Data & AI Development

About the Role

Key Responsibilities

• Designs, develops, and maintains AI and machine learning tools to support faculty research, data analysis, and predictive modeling.
• Collaborates with faculty and research groups to prototype, refine, and scale AI applications that accelerate research productivity and innovation.
• Evaluates and integrates open-source and commercial AI platforms to optimize research methodologies and expand analytical capabilities.
• Develops custom dashboards, interactive visualizations, and automated reporting tools to enhance decision-making, performance tracking, and research impact assessments.
• Provides technical and strategic expertise to faculty on AI, big data, and analytics-driven research proposals, enhancing grant competitiveness.
• Assists in crafting and refining data management plans (DMPs) and AI methodology sections for grant applications to ensure compliance with funding agency standards.
• Applies advanced analytics, impact modeling, and dynamic visualization techniques to help research teams effectively showcase the societal, technological, and economic significance of their work.
• Oversees secure, ethical, and compliant data management practices, ensuring adherence to institutional, legal, and funding agency requirements.
• Develops and maintains robust, reproducible, and auditable data pipelines to ensure data integrity and accessibility for AI models and research analytics.
• Partners with Engineering Network Services, central IT, campus data governance, and research administration units to align research data security and governance strategies with institutional policies.
• Implements best practices for AI model transparency, explainability, and responsible AI deployment in research applications.
• Designs and leads training sessions, workshops, and bootcamps on AI tools, data ethics, open science, reproducible research, and advanced research data management.
• Mentors students and researchers in AI-enhanced, data-driven methodologies to cultivate expertise in computational research and analytics.
• Facilitates interdisciplinary collaboration to bridge AI technologies with diverse research fields, fostering innovation and cross-sector impact.

Requirements

• Master's Degree in Computer Science, Machine Learning/Artificial Intelligence and Data Science with 5 years of experience using and developing ML/AI-based tools or
• PhD in Computer Science, Machine Learning/Artificial Intelligence and Data Science with 2 years of experience using and developing ML/AI-based tools.
• Experience in data science and graph theory.
• Experience in user interfaces that enable non-experts to utilize developed tools.
• Understanding of AI frameworks, neural networks, deep learning, NLP, and computer vision.
• Expertise in statistical modeling, predictive analytics, and big data methodologies.
• Familiarity with data collection, processing, storage, and sharing best practices in academic research.
• Knowledge of funding agency requirements (NSF, NIH, etc.) and structuring competitive grant proposals involving AI and big data.
• Understanding of regulations such as GDPR, HIPAA, and institutional policies on research data security.
• Proficiency in Python, R, TensorFlow, PyTorch, or similar AI/ML tools.
• Ability to work with SQL, NoSQL, or graph databases for research data storage and retrieval.
• Strong interpersonal skills to collaborate effectively with faculty, researchers, and leadership.
• Capacity to anticipate emerging AI trends and integrate cutting-edge tools into research practices.

Nice to Have

• Experience with developing and deploying AI applications in research environments.
• Experience with open-source AI platforms and commercial AI tools.
• Knowledge of research methodologies and industry standards in AI.

Qualifications

• Master's Degree or PhD in relevant fields as specified in requirements.

Benefits & Perks

• A culture of support and work/life balance.
• Generous benefits and educational opportunities.
• Work environment that fosters collaboration and innovation.