PhD Project in PACE – Proactive Care for Elderly People with Dementia

DTU Compute
Wednesday 08 Nov 17

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DTU Compute’s Section for Statistics & Data Analysis, would like to invite applications for a 3-year PhD position starting January 2018, or as soon as possible thereafter. The project is financed by the Innovation Foundation Denmark as part of the project “PACE – Proactive Care for Elderly People with Dementia”.

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.                                       

Responsibilities and tasks
The project will explore Big Data to detect changes in practices among elderly with dementia, aiming at preventing hospitalizations, by combining information from already existing technologies. The project will be designing new user interfaces to implement the big data analytics in a way that matches daily need for healthcare staff, and aim at providing a standard for future nursing homes.
The PACE project is a partnership formed by Department of Applied Mathematics and Computer Science at the Technical University of Denmark, Center for Design, Innovation and Sustainable Transition at Aalborg University Copenhagen, Skovhuset (Hillerød Municipality),  The SIF group, Væksthus Hovedstadsregionen and Kullegaard.

The actual phd project is as follows:
With basis in sensor information from intelligent floors, sensor staffs, alarm calls and additional sensor- and other information, the successful candidate should build a procedure that, for each of the individual nursing home resident followed, will construct a concept of ‘normal behavior’, detected on an automatized basis. The construction should be made in such a way that natural variation in sensor readings etc. do not indicate that the resident is changing behavior is incorporated and will not trigger a violation of the individual ‘normal behavior’ concept. Changes that fall outside normal behavior should be detected and classified, such that expected implications from a specific deviation from normal behavior should be indicated. The candidate will develop such a system using for example: elements of statistical learning; aspects of machine learning, deep learning and standard statistical analysis tools where appropriate. The candidate will participate in the implementation of such a system in user interfaces developed by others in the project, but in cooperation with the candidate, fine-tune the mechanism to desired levels of responses, and document the developed algorithms scientifically.

Qualifications
Candidates must have a master degree in mathematics/statistics, computational science and engineering, or engineering, or equivalent academic qualifications. Programming skills in at least one language such as R, Matlab, Python, Java or C is essential. 

Preference will be given to candidates who can document sound experience in applied statistics / machine learning and/or a documented record of algorithm development.

Furthermore, excellent collaboration skills and mastering of the English language is essential.

Mastering the Danish language will be considered an advantage.

Approval and Enrolment
The scholarship for the PhD degree are subject to academic approval, and the candidates will be enrolled in one of the general degree programmes of DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.

Assessment
The assessment of the applicants will be made by Anders Stockmarr and Bjarne Kjær Ersbøll.  

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 an academic freedom tempered by responsibility.

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
Further information concerning the projects can be obtained from Anders Stockmarr, anst@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, lemat@dtu.dk.

Application
Please submit your online application no later than 27 November 2017 (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 in the online application form, and attach all your materials in English in one PDF file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma
  • 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 11,000 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.