PhD Project on Usability and Understandability of Hybrid Process Models

DTU Compute
fredag 10 nov 17

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Frist 24. november 2017
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The Section for Software Engineering at DTU Compute would like to invite applications for a 3-year PhD position starting 1 February 2018. The project is financed by the EcoKnow project (funded by Innovation Fund).
DTU Compute is an internationally unique academic environment spanning the scientific 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 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
The goal of the EcoKnow project is to develop world-leading solutions for the effective digitalization of knowledge work processes that empower caseworkers and citizens to plan evidence-based optimal process flows for the individual case, guaranteeing both efficiency and compliance with the law.
The PhD candidate will be a key member of one of the work packages concerned with the usability and understandability of the hybrid process modeling technologies for effective, co-created & compliant adaptive case management (ACM) developed as part of EcoKnow. The work package aims to ensure that end users (caseworkers, process consultants, lawyers) understand and can use the modelling notations and accompanying tools for describing and maintaining (adapting) processes and compliance rules.
As part of the project, the PhD candidate is expected to perform 3 one-year cycles of empirical studies supported by multi-modal data collection (considering user interactions, physio-psychological measurements, and verbal protocol analysis), studying the understandability of the process mining results and hybrid process design tools developed in the technical work packages.
Candidates should have a Master’s degree in computational science and engineering (CSE) or a similar degree with an academic level equivalent to the master's degree in engineering.

Preference will be given to candidates who can document experience with conducting user studies (in particular using psycho-physiological measurements and verbal protocol analysis), and in addition have a background in business process modelling and process mining. 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 PhD Programme at DTU Compute.

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 Head of Section, Professor Barbara Weber.
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 appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is 3 years.

You can read more about career paths at DTU here.

Further Information
Further information concerning the project can be obtained from Head of Section, Professor Barbara Weber, +45 4525 3645 or
Further information concerning the application is available at the DTU Compute PhD homepage or by contacting PhD coordinator Lene Matthisson, +45 4525 3377.

You can read more about DTU Compute at
Please submit your online application no later than 24 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
  • 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 strives to achieve research excellence in its basic scientific 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 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.