3 PhD Projects in Big Data Analytics on Food Supply Chain Data

Ansøgningsfrist: 
22. september, 2016

DTU Compute would like to invite applications for three 3-year PhD positions. They have expected starting date: October 2016, December 2016 and February 2017. Two positions are funded by the Innovation Foundation Denmark societal partnership “DABAI Danish Center for Big Data Analytics Driven Innovation”. The partnership is formed by the Computer Science departments of the Technical University of Denmark, Aarhus University, and University of Copenhagen, and the Alexandra Institute in collaboration with key businesses and public authorities to promote big data analytics. The third is partly funded by the Norwegian research council and will be associated to DABAI. Denmark is one of the most digitalized countries in the world and the mission of the societal partnership is to boost innovation in the Danish society at large using big analytics.  

Project Description
The PhD-projects will focus on research and implementation of “Big Data Analytics with special emphasis on Food Supply Chain data”. The project’s vision is demonstration of the advantage and efficiency of using big data analytical methods on such data. The research effort will require a high degree of interaction with relevant stakeholders along the food supply chain. As a first step data sources must be identified and described – especially with regard to uniqueness of these to the domain in question. Together with other members of the team relevant Big Data functionalities must then be carefully tailored and the businesses helped to deploy these. Analysis and quantification of the methods’ potential should then be described.   

Requirements
Candidates must have a master degree in computational science and engineering, applied mathematics/statistics, machine learning, or engineering, or equivalent academic qualifications. Preference will be given to candidates who can document sound experience in statistics / machine learning and collaboration with external stakeholders, business partners or organizations. Experience in “data wrangling” is considered positively. Furthermore, good command of the English language is essential. Good command of the Danish language will be considered an advantage.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the ITMAN Graduate School Programme of DTU Compute. 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 professors Bjarne Ersbøll and Lars Kai Hansen.

Salary and appointment terms
The salary and appointment terms are consistent with the current Danish rules for PhD degree students.

Further information Further information concerning the projects can be obtained from Bjarne Ersbøll, bker@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. 

Application
Applications must be submitted in English as one single PDF, and we must have your online application by September 23, 2016. Please open the link 

https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/ApplicationForm.cfm?PortalID=946&VacatureID=852321&CustomerCode=DTU1

"apply online" (“ansøg online”). Applications must include: 

  • application (letter of motivation)
  • CV
  • 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)

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Compute conducts research and provides teaching in the fields of mathematics, modeling and computer science. The expanding mass of information and the increasingly complex use of advanced technology in society demand development of advanced computer based mathematical models and calculations. The unique skills of the department are in high demand in IT innovation and production.

DTU is a technical university providing internationally leading research, education, innovation and public service. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,300 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.