The University of Stavanger invites applicants for a fully funded Ph.D fellowship in Deep Learning at the Faculty of Science and Technology, Department of Electrical Engineering and Computer Science. The position is vacant from March 1st 2020, or after appointment.

The appointment is for three years with research duties exclusively, or four years with both research and 25% compulsory duties. This will be clarified in the recruitment process.

The project is about "Smart Distributed Algorithmic Solutions to Scale Deep Learning". This project is motivated by the observation that the recent models such as BERT and XLNet have hundreds of millions of parameters and take several days to train on state-of-the-art hardware. Not to mention thousands of dollars it costs to train them and their infeasibility to deploy on resource constrained devices such as smart phones. This project aims to develop algorithms and data structures for a variety of deep neural networks which exploit distributed architectures to scale both training and inference. 

Qualification requirements:
1. A five-year master degree (3 years bachelor + 2 years master) within Computer Science, Machine Learning, Data Science, preferably acquired recently.
2. A Masters thesis within the area of machine learning or data science and weighted average grade of your master’s degree must individually be equivalent to or better than a B grade (according to Norwegian grading system).
3. Candidates with experience or publications related to machine learning, deep learning and distributed systems will be prioritized.
4. Motivation and potential for research within the field.
5. Strong command in written and spoken English (a language certificate is not required at application time).
6. There are no restrictions on citizenship.

For more details and application portal see:

Applications submitted only in the official job portal (JobbNorge) will be considered.

Deadline for the application is 8th December 2019. 

Dr. Vinay Setty
Associate Professor

Department of Computer Science and Electrical Engineering
University of Stavanger, Norway