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DTU Compute’s Sections for Cognitive Systems, would like to invite applications for a 3-year PhD position starting in 2017. The project is financed by The Villum Foundation through their Young Investigator grant.
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.
The project focus on learning locally adaptive metrics and building statistical models that respect these. We model the locally adaptive metric as a Riemannian metric, which gives a firm mathematical foundation to build upon. We are interested in building both theoretical foundations and practical algorithms working with this class of models. Working on this, you will develop new insights using differential geometry, machine learning, probability theory, and much more. The focus of the project will depend on the chosen candidate. Potential topics of research include (but are not limited to):
- (Smooth) metric learning
- Latent variable models
- Probabilistic numerics
- Statistics on Riemannian manifolds
More details are available at Open positions.
Candidates must have a master degree in computational science and engineering (CSE), pure/applied mathematics, statistics, physics, or engineering, or equivalent academic qualifications. Preference will be given to candidates who are excited about basic research, have an interest in the mathematical foundations of machine learning and have a experience with mathematical modelling and the programming needed to apply these models to real data. 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.
The assessment of the applicants will be made by Søren Hauberg and Lars Kai Hansen.
We offer an interesting and challenging job in an international environment focusing on education, research, scientific advice and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world.
Salary and appointment terms
The salary and appointment terms are consistent with the current rules for PhD degree students. The period of employment is 3 years.
Further information concerning the position can be obtained at Open positions or by contacting Søren Hauberg, firstname.lastname@example.org.
Further information concerning the application is available at the DTU Compute PhD homepage or by contacting PhD coordinator Lene Matthisson +45 4525 3377.
Applications must be submitted in English as one single PDF, and we must have your online application by April 15, 2017. 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)
- 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)
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 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,600 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.