Website Royal Institute of Technology
Job description
PhD Student in Generative-Based Image Representation Project Description Cycle 3 Subject: the Division of Robotics, Perception and Learning (DPRL) in Computer Science recruits a PhD student with a background and strong interest in computer vision and deep generative learning. The successful candidate will join a VM-funded project investigating how to better learn and extract image representations from deep generative networks for the tasks of fine-grained classification and discovery of new species. We also aim to eventually incorporate genomic measurements into the recognition process. The algorithms developed will be independent of the application domain and will focus on planktonic species identification, with the goal of building more robust systems for classification and new species identification. You will be part of an ongoing collaboration between Associate Prof. Josephine Sullivan at RPL, Prof. Anders Andersson at SciLife Labs (Environmental Genomics) and Bengt Karlson’s group at SMHI. Check out this article for details of the scientific outcomes of this collaboration: ‘Mapping the smallest organisms in the ocean’. Directed by Associate Professor Josephine Sullivan and Professor Anders Andersson
offer requirements
Applicants for postgraduate education (Chapter 7, Section 39 of the Swedish Higher Education Ordinance) must have the basic qualification of any of the following: having passed a second-stage degree examination (e.g. a master’s degree) or having completed the requirements for a program of at least 240 credits of higher education, of which at least 60 credits of second-stage higher education are required, or having acquired the basic equivalent in some other way, either at home or abroad. This program requires proficiency in computer programming, so competency in programming languages such as Python and deep learning programming libraries such as TensorFlow, PyTorch, or JAX is a must (completed course and project work). In addition to the above requirements, a level of English equivalent to English B/6 is required. To be successful as a PhD student at KTH, you must be goal-oriented and persistent in your work. During the selection process, candidates will be evaluated on their ability to: Work independently Work collaboratively with others Use professional methods to analyze and deal with complex problems In evaluating candidates, emphasis will be placed on academic performance, completed courses, and programming skills demonstrated through completed project work. It is especially important to have advanced coursework in computer vision and/or machine learning. Candidates are expected to be able to read and write in English as their daily work requires reading and writing scientific literature in English. After the qualification requirements, personal competence and motivation will be the focus. Target Degree PhD
offer benefits
Study in a dynamic and international research environment with companies and renowned universities from all over the world. The workplace offers a wide range of employee benefits and monthly salaries according to the KTH PhD salary agreement. Postgraduate education at an institution that is positively supportive in terms of working conditions, gender equality and diversity, and the learning environment. Work and study in Stockholm, close to nature and water. Help relocate and make a home in Sweden and at Stockholm University of Technology. The Robotics, Perception and Learning department is a dynamic and international research department with a large pool of PhD students.