PhD Project in Dynamic Antimicrobial Resistance Modelling

DTU Compute
tirsdag 03 jul 18

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Frist 19. august 2018
Du kan søge om jobbet ved DTU Compute ved at udfylde den efterfølgende ansøgningsformular.

Ansøg online

DTU Compute’s Sections for Dynamical Systems, would like to invite applications for a 3-year PhD position starting 1 October 2018. The Danish Ministry of Finance finances the project.

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. 

Project Description
Reduction of antimicrobial resistance (AMR) in Danish pig production is a priority for the Danish government. To inform strategies to reduce AMR in the pig production, precise predictive models for the change of AMR over time are needed. The successful applicant will determine important factors that influence AMR over time, and develop dynamic models of AMR that accounts for these factors: e.g. treatment with different antimicrobials, movement of animals between herds, management factors, etc. Models will concern levels of AMR genes as measured by qPCR and metagenomics (knowledge of these methods is not required). To develop these models data have been obtained over several years and additional data will be collected during the project period. The project will be done in collaboration with researchers in DTU Bioengineering and DTU FOOD.

Requirements
Candidates must have a master degree in applied mathematics, or engineering, or equivalent academic qualifications. Preference will be given to candidates who can document experience with dynamical models, time series analysis, and statistics. 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 DTU Compute PhD School Programme. 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 Kaare Græsbøll, Lasse Engbo Christiansen, and Henrik Madsen.

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 appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon 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 Kaare Græsbøll, kagr@dtu.dk and Lasse Engbo Christiansen, laec@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 19 August 2018 (local time). Please open the link in the red bar in the top of the page: "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)
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 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 academic university collaborating globally with business, industry, government and public agencies.