- Allston, Massachusetts, United States
- Hybrid
- Full-time · Senior
- 7+ years
This role advances technology-enabled teaching and learning within the School of Engineering and Applied Sciences. As a key member of SEAS Computing, this role independently leads the planning, coordination, and support of compute resources and related academic technologies for engineering courses in both degree and professional education programs.
Compensation
This position is salary grade level 058. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Responsibilities
- Serve as the primary point of contact within Computing for instructional computing and academic technology strategy
- Partner with faculty, program staff, CEE colleagues, and HUIT to identify instructional compute needs
- Maintain awareness of relevant AI and emerging technologies advancements and tools
- Serve as a trusted advisor to faculty and teaching teams on effective, responsible, and resource-efficient integration of AI, LLMs, APIs, and related technologies
- Evaluate resources against course and program requirements and determine and communicate options
Requirements
- Advanced degree in engineering, computer science, information technology, instructional design, or a related field