We are looking for an intern to work with our research team, conducting world-class
research in the area of Cloudification and Management of future Autonomous Driving
Networks. The research team is working on production datasets in close collaboration
with a team of Domain Experts, Software Engineers and Cloud Architects.
Example research areas in CT Lab include the following:
- Root Cause Analysis
- Fault Prediction
- Anomaly Detection
- Intelligent Trace Selection
We are looking for interns interested in one or more of the following ML/AI areas:
- Time-series causality analysis and forecasting
- Neural Networks and Deep Learning
- Artificial Intelligence for IT Operations (AIOPs)
- Graph Neural Networks
- Bayesian Networks
- Reinforcement Learning, Dynamic Programming, Optimal control
Minimum qualifications:
- Currently enrolled in a "PhD degree" in Computer Science or a related technical field.
- Experience (classroom/work) in one or more of the following: Neural Networks, Machine Learning, Deep Learning, Data Science, Statistics, Data Mining.
- Experience with general purpose programming languages: Python, Java or Go.
Preferred qualifications:
- Available to work for 20-40 hours per week for a minimum of 6 months.
- Returning to your degree after completing the internship.
- Relevant work experience, including internships, full time industry experience or as a researcher in a lab.
- Ability to design and execute on research agendas.
- Experience with research communities and/or efforts, including having published papers (being listed as author) at top conferences (e.g. NIPS, ICML, ICLR, CVPR, etc.).
