Company: King's College London
Location: London
Job Description:
Overview
In this role you will lead an internationally recognized computer engineering research programme and deliver high-calibre teaching for undergraduates and postgraduates. You will build strong industry partnerships, secure external funding, and mentor PhD students and postdocs. You join a vibrant department at a premier university, shaping the future of computer engineering through innovative research and education. This position offers the chance to influence curriculum, foster collaboration across disciplines, and contribute to an inclusive, diverse research culture.
Responsibilities
- Establish and lead an internationally recognized research programme in computer engineering across future computing paradigms, sustainable computing, or secure hardware–software platforms for AI
- Develop and deliver high-calibre undergraduate and postgraduate modules and contribute to curriculum development
- Pursue external research funding from government bodies and industry partners, and build strong collaborations
- Lead undergraduate and postgraduate student projects within the department
- Supervise PhD students and postdoctoral researchers, supporting timely thesis completion
- Contribute to departmental and faculty administration and foster a positive culture
- Demonstrate commitment to equality and diversity
- PhD in Engineering or related discipline
- Internationally recognised leader in computer engineering research with a strong record of knowledge creation and innovation in one of the target areas
- Proven ability to secure research funding and manage a research group with industry partnerships
- Ability to teach undergraduate and postgraduate modules and supervise research students
- Collaborative, team-oriented leadership with mentoring experience and strategic contribution to the department
- Effective communication skills with a record of presenting at international conferences and publishing in leading journals
- Ability to build inclusive research environments and manage multi-PI grants and projects
- collaborative leadership
- mentoring and staff development
- clear communication
- future computing paradigms (neuromorphic, quantum, unconventional)
- sustainable and energy-efficient computing
- secure and trustworthy hardware–software platforms for AI
Posted: September 20th, 2026