Arbejde PhD Project in Deep Generative Modelling unspecified Danmarks Tekniske Universitet - jobtilbud
reference: 4861188
documentId: 4861188
connectionPointId: 7
lastModificationDate: 1533624554430
stillingsbetegnelse: PhD Project in Deep Generative Modelling
jobbeskrivelse:
DTU Compute's Sections for Cognitive Systems would like to invite applications for a 3-year PhD position starting October 2018. The project is financed by DeepMind and DTU Compute.
Our department DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour.
DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centres and strategic partners in order to increase participation in major consortia.
DTU Compute plays a central role in education at all levels of the engineering programmes at DTU - both in terms of our scientific disciplines and our didactic innovation.
Project Description
Deep learning has become the favourite workhorse for specialised artificial intelligence applications such as image and speech recognition. These are mostly based upon a supervised learning. Deep unsupervised learning (density modelling) is also an active research field that will be increasingly important in the coming years to solve applications with little or no annotated data. In the project methods for deep unsupervised learning such as variational auto-encoders will be researched. Central research questions are more accurate approximate inference and non-parametric methods for few-shot learning. Applications in natural language modelling will be used as case for the methods developed.
Requirements
Candidates must have a master degree in computational science and engineering (CSE), applied mathematics, or engineering, or equivalent academic qualifications. Preference will be given to candidates who can document excellence in machine learning and artificial intelligence, and in addition have a strong background in statistical modelling and computation. Furthermore, good command of the English language is essential.
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the DTU Compute PhD School Programme. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide. http://www.dtu.dk/english/Education/PhD/Rules/PhDguide
Assessment
The assessment of the applicants will be made by: Ole Winther, DTU Compute and Ulrich Paquet, DeepMind.
We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.
You can read more about at career paths DTU here. http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths
Further Information
Further information concerning the project can be obtained from Ole Winther, olwi (at) dtu.dk.
Further information concerning the application is available at the DTU Compute PhD homepage or by contacting PhD coordinator Lene Matthisson +45 4525 3377. http://www.compute.dtu.dk/english/education/phd mailto:lemat (at) dtu.dk
Application
Applications must be submitted in English as one single PDF, and we must have your online application by 21 August 2018 (local time). Please open the link in the red bar in the top of the page: "apply online" ('ansøg online').
Applications must include:
- application (letter of motivation)
- CV
- documentation of a relevant completed M.Sc. or M.Eng.-degree
- course and grade list of bachelor and master degrees
- Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here) http://www.dtu.dk/english/Education/phd/Applicant/Pre_acceptance-1-
Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it. All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.
DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society; and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.
numberOfPosts: 1
jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2310
abstractJV_contact_0:
Send ansøgning på en af de angivne kommunikationskanaler
positionTypeCode: directhire
contractTypeCodes_0: fulltime
Arbejdsgiver Navn: Danmarks Tekniske Universitet
source: DK-STAR
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