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Research Assistant in Applied Statistical Modelling and Machine Learning

Technical University of Denmark, Denmark is offering postdoc position in applied mathematics. Candidates are welcome before September 15, 2019.

Starting at October 1st 2019, or as soon as possible thereafter, a postdoc position is offered at the Section for Statistics and Data Analysis, a part of Department of Applied Mathematics and Computer Science at the Technical University of Denmark (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 endeavor.

You will be working within the area of applied statistics, focusing on synthesizing statistical modeling with tools such as statistical learning; aspects of machine learning, deep learning and standard statistical analysis tools where appropriate, based on a data driven approach. Both method justification in terms of theoretical considerations and practical feasibility will be part of the work.

PACE - Proactive Care for the Elderly with Dementia – is a partnership formed by DTU Compute, Center for Design, Innovation and Sustainable Transition at Aalborg University Copenhagen, Skovhuset (Hillerd Municipality), The SIF group, Copenhagen Business Hub and Kullegaard. PACE is financed by Innovation Fund Denmark. You will, as part of PACE, explore Big Data to detect changes in practices among elderly with dementia, aiming at preventing hospitalizations, by combining information from already existing technologies.

Candidates should have a master's degree in engineering or equivalent.

You should have a Masters degree or equivalent academic qualifications within mathematics/statistics, computational science and engineering, engineering, or equivalent areas. Programming skills in at least one language such as R, Matlab, Python, Java or C is essential. You should, in addition, have an interest in seeing mathematics, statistics and machine learning be put to practical use, and appreciate to operate among professionals from several disciplines far from technical science, while still being placed in a department that has this as its main focus.

All interested candidates irrespective of age, gender,disability, race, 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.

. 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 university collaborating globally with business, industry, government and public agencies.

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