Doctoral student in Machine Learning Full-time

Doctoral Student In Machine Learning

School of Electrical Engineering and Computer Science at KTH

Project Description

PhD student 1 will be a part of an EU project “Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors”. The goal of the project is to digitalize the sense of smell, pave the ground for understanding how the sense of smell works in humans and build AI models of these. We seek a candidate who have experience working with time series data (EEG), signal processing and machine learning.

PhD student 2 will be a part of an EU project “Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors”. The goal of the project is to digitalize the sense of smell, pave the ground for understanding how the sense of smell works in humans and build AI models of these. We seek a candidate who have experience working with computer vision, machine learning and video processing.

Supervision: Professor Danica Kragic is proposed to supervise the doctoral student. Decisions are made on admission

Admission Requirements

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

• passed a second cycle degree (for example a master's degree), or
• completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
• acquired, in some other way within or outside the country, substantially equivalent knowledge

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

Selection

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

• independently pursue his or her work
• collaborate with others,
• have a professional approach and
• analyze and work with complex issues.

After the qualification requirements, great emphasis will be placed on personal skills.

Target Degree: Doctoral Degree

Information Regarding Admission and Employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.

As a doctoral student, you are entitled to a workplace with many employee benefits and monthly salary according to KTH's Doctoral student salary agreement. Read more about Doctoral studies (PhD) | KTH | Sweden.