PamiTC/CVPR Job Board - Posting Details

Title: Ph.D. student in deep learningPosted: July 22, 2017
Company/Institution: KTH Royal Institute of Technology
Location: Stockholm, Sweden
Department: School of Computer Science and Communication

Description: https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:156210/where:4/ Deep learning, as a field of machine learning, has dramatically pushed the performance of many intelligent systems, but many important questions remain open for research. How should one interpret its decision making process? Can one successfully learn deep learning models without large-scale annotated data? What are the limits of its application to other fields? The role of the doctoral student will be to focus on developing theoretical advances regarding these research questions and/or applying them to general computer vision and, to a lesser extent, natural language processing. A secondary aspect involves applications with medical data. Medical data analysis is attracting attention from top players in various fields as more data and resources become available (such as Medical Imagenet by Stanford University). We will look for ways to apply the methods we develop in many exciting medical applications such as automatic diagnosis, personalized drug discovery, genetic analysis, and so forth. The specific research topics may include but are not limited to using adversarial training for unsupervised and semi-supervised learning as well as domain adaptation, uncertainty estimation of a deep network’s output, understanding deep networks and its inner workings, and applying state-of-the-art models to highly impactful medical applications such as cancer prediction in medical data. Should the student be willing and experienced enough in deep learning, she/he will have some freedom to steer the direction of research. This is a four (4) year time-limited position with full funding and support for travel to conferences, etc. It can be extended up to five (5) years with the inclusion of a maximum of 20% departmental duties, typically teaching.

Application Instructions: Log into KTH's recruitment system in order to apply to this position. https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:156210/where:4/ You are the main responsible to ensure that your application is complete according to the ad. Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time). Application shall include the following documents: 1. Statement of interest and brief description of experience in machine learning, and/or deep learning, computer vision, and natural language processing. 2. Curriculum vitae 3. Transcripts from university/university college 4. Letter of recommendation and contact information from two references 5. An example of the applicant’s original technical writing, e.g., thesis, technical report, or scientific paper Please observe that all material needs to be in English, apart from official documents.