PhD position in machine learning, computer vision and graphics, Lancaster University
Country/Region : UK - United Kingdom
Description
You are invited to apply for a funded 3.5- or 3-year PhD studentship to start in October 2015.
If your application is successful, you will join the Interactive Systems Lab at Lancaster University's School of Computing and Communications, a vibrant research team with five academics and a group of PhD students and post-doctoral researchers. You will supervised by Dr. Kwang In Kim (https://people.mpi-inf.mpg.de/~kkim/).
Topic: We aim to develop new techniques which enable users to organize and explore imagery data based on their own subjective criteria at a high semantic level. The crux of the problem is to understand how a user could communicate their own criteria without having to know how those criteria might be formed or described at the data level. We aim to form this knowledge into a new machine learning algorithm, which will help users personally organize data to explore it easily.
During your PhD, you will focus on novel algorithms on semi-supervised learning, inference on graph structured data, and automatic feature extraction for imagery analysis. You will need to have a strong background in computer vision and/or machine learning, and high proficiency in Matlab, C, or C++.
Academic Requirements: You must have an excellent degree in Computer Science, Mathematics, Statistics, or closely related field. Having experienced with an MSc project in machine learning, vision, or any related areas is a plus but is not required.
Funding: The Scholarships provide support for PhD studies for a duration of 3 to 3.5 years and include a waiver of tuition fees (partial fee waiver for overseas students), a student maintenance grant (starting £14,000 per year tax free, with annual increments) and a training bursary of £800 per year (e.g., for attending summer schools).
Application Instructions: The formal application has to be submitted by the 15th July via the Postgraduate Admissions Portal:
http://www.scc.lancs.ac.uk/phd/Studentships
However, you should send an email to Kwang In Kim (k.kim-AT-lancaster.ac.uk) by the 8th July so that he can help you preparing the formal application.
If your application is successful, you will join the Interactive Systems Lab at Lancaster University's School of Computing and Communications, a vibrant research team with five academics and a group of PhD students and post-doctoral researchers. You will supervised by Dr. Kwang In Kim (https://people.mpi-inf.mpg.de/~kkim/).
Topic: We aim to develop new techniques which enable users to organize and explore imagery data based on their own subjective criteria at a high semantic level. The crux of the problem is to understand how a user could communicate their own criteria without having to know how those criteria might be formed or described at the data level. We aim to form this knowledge into a new machine learning algorithm, which will help users personally organize data to explore it easily.
During your PhD, you will focus on novel algorithms on semi-supervised learning, inference on graph structured data, and automatic feature extraction for imagery analysis. You will need to have a strong background in computer vision and/or machine learning, and high proficiency in Matlab, C, or C++.
Academic Requirements: You must have an excellent degree in Computer Science, Mathematics, Statistics, or closely related field. Having experienced with an MSc project in machine learning, vision, or any related areas is a plus but is not required.
Funding: The Scholarships provide support for PhD studies for a duration of 3 to 3.5 years and include a waiver of tuition fees (partial fee waiver for overseas students), a student maintenance grant (starting £14,000 per year tax free, with annual increments) and a training bursary of £800 per year (e.g., for attending summer schools).
Application Instructions: The formal application has to be submitted by the 15th July via the Postgraduate Admissions Portal:
http://www.scc.lancs.ac.uk/phd/Studentships
However, you should send an email to Kwang In Kim (k.kim-AT-lancaster.ac.uk) by the 8th July so that he can help you preparing the formal application.
Last modified: 2015-07-01 23:53:42