Research Assistant in Applied Statistical Modelling and Machine Learning

torsdag 30 jan 20

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Frist 1. marts 2020
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Starting at April 1 2020, or as soon as possible thereafter, a position as Research Assistant is offered at the Section for Statistics and Data Analysis, a part of Department of Applied Mathematics and Computer Science (DTU Compute) at the Technical University of Denmark.


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 data handling and exploratory statistics, with the aim of applying methods from areas such as statistical learning; aspects of machine learning, deep learning and statistical analysis 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.

Responsibilities and tasks
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 (Hillerød Municipality), The SIF group, Copenhagen Business Hub and Kullegaard. PACE is financed by Innovation Fund Denmark.

You will, as a part of PACE, be working with data from indoor radar technologies, and structure them with the aim of detecting changes in practices among elderly with dementia, aiming at preventing hospitalizations. You will work closely together with project partners who will utilize modeling of radar data by combining such information with information from other existing technologies, to obtain a higher order detection scheme for changing practices. The project is about extracting such information from data, and put it to practical use.

  • You will construct a data representation that allows detection and classification of changes that fall outside normal behavior, and consider methods to incorporate random fluctuations in behavior for these data, allowing distinction between variations in normal behavior and violations of such.
  • In cooperation with others, you will contribute to the development of models for changing practices, and incorporate them into systems that covers several sensor technologies.
  • You will be participating in the implementation of such a system.
  • You will contribute to the further development of models to detect and classify changes that fall outside normal behavior, such that expected reasons and implications from a specific deviation from normal behavior can be studied, essentially giving a pointer towards which disease (if any) that caused the deviation, and the severity of the implications.
  • New user interfaces to implement the big data analytics will be designed in participation with you, in a way that matches daily need for healthcare staff, and aim at providing a standard for future nursing homes.

Qualifications
You should have a Master’s 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.
 

  • You have the ability to deal with statistical modeling in Big Data, the central qualification.
  • You have excellent collaboration skills to match close collaboration and an interdisciplinary environment, and mastering of the English language, are essentials.
  • At the same time, you are innovative and enterprising, and enjoy sharing your ideas with colleagues.
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 terms of employment
The terms of employment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.  The position is a full-time position. The period of employment is 2 years.

Starting date is  April 1 2020 or as soon as possible thereafter according to mutual agreement.

You can read more about career paths at DTU here

Further information
Further information may be obtained from Head of Project Anders Stockmarr, tel.: +45 4525 3332, anst@dtu.dk, or Head of Section Bjarne Kjær Ersbøll, tel.: +45 4525 3413, bker@dtu.dk.   

You can read more about DTU Compute at www.compute.dtu.dk/english.  

Application procedure
Please submit your online application no later than 1 March 2020 (23:59 local time)
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: 
  • Application (cover letter)
  • CV
  • Diploma (MSc)
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. 

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.