Job Description
We are seeking a visionary and distinguished academic to join the faculty at The Cambridge Institute of Technology. As a leading research university, we are committed to pushing the boundaries of Artificial Intelligence, Natural Language Processing, and Deep Learning. In this pivotal role, you will lead groundbreaking research, mentor the next generation of tech leaders, and shape the curriculum that defines the future of our department.
Our ideal candidate is not only an expert in their field but also a passionate educator dedicated to fostering an inclusive and innovative academic environment. You will have access to state-of-the-art computing facilities and the opportunity to collaborate with industry leaders and top-tier researchers from around the globe.
Responsibility
- Research Leadership: Design and execute high-impact research projects that contribute to the global body of knowledge in AI and Machine Learning.
- Academic Teaching: Deliver advanced courses and seminars in AI, ML algorithms, and computational theory to undergraduate and graduate students.
- Student Mentorship: Guide PhD students and junior researchers, providing mentorship on technical challenges and career development.
- Grant Acquisition: Secure external funding through prestigious national and international research grants.
- Publication: Author high-quality publications in top-tier peer-reviewed journals and conferences (NeurIPS, ICML, etc.).
- Industry Collaboration: Foster partnerships with tech firms and startups to translate theoretical research into practical applications.
Qualification
- Education: Ph.D. in Computer Science, Electrical Engineering, or a related field from a recognized institution. A record of significant research achievement is required.
- Experience: Proven track record of academic excellence, including a robust publication history in leading AI venues.
- Teaching Experience: Demonstrated ability to teach complex technical concepts effectively to diverse student populations.
- Technical Skills: Expertise in Python, PyTorch/TensorFlow, and experience with large-scale datasets and distributed computing systems.
- Leadership: Experience leading research teams and managing laboratory resources.