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Senior Researcher in Dynamic Antimicrobial Resistance Modelling
DTU Compute’s Sections for Dynamical Systems, invite applications for an appointment as Senior Researcher within Dynamic Antimicrobial Resistance Modelling. The position is available from February 2019, or according to mutual agreement.

The section for Dynamical Systems performs research within a broad range of areas within dynamical systems - including modelling, optimization, forecasting, and controlling in both deterministic and stochastic systems.

The main topics are within nonlinear dynamics (ODEs and PDEs), network dynamics, statistics, stochastic and adaptive control theory, parameter estimation, optimization, and methods for decisionmaking under uncertainty.

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.

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, 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 stochastic dynamic and statistical 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. To develop these models existing data obtained over several years as well as additional data collected during the project period will be available.

Responsibilities and tasks
Are you interested in mathematical biology and antimicrobial resistance then perhaps you are our new full time Senior Researcher. We are expanding our activities within mathematical biology and dynamical systems. You will contribute to framing our work within this area with a special focus on modelling antimicrobial resistance in pig production.

You are expected to take a leading role within the following areas:

  • Statistical analysis of qPCR data
  • Modelling the link between consumption of antibiotics and appearance of antimicrobial
  • resistance genes among bacteria in the primary production (with focus on pigs)
  • Investigation of the relative importance of when antibiotics are consumed
  • Determine importance of correlation and/or cluster structures of antimicrobial resistant genes
  • Predictive models of antimicrobial resistance including sensitivity analysis and validation here of.
  • Using, building, and parameterising epidemiological models.
  • Supervision of projects within and participation in teaching dynamic models for diseases

For international candidates, DTU can provide Danish language courses enabling the candidates to teach in Danish within 2-3 years.

As Senior Researcher at DTU Compute you are expected to collaborate with colleagues within the Department as well as at other DTU departments - in particular DTU
Bioengineering and DTU Food.

You are expected to develop strong external relations with universities and industry in Denmark and internationally. Furthermore, you are expected to strive for scientific excellence within your field.

Qualifications
Candidates must: 

  • hold a PhD degree (or equivalent), as well as academic qualifications equivalent to those obtained by holding a position as a researcher or postdoc.
  • document didactic/pedagogic training

Applicants with experience in the following areas are in particular welcome to apply:

  • Statistical models for antimicrobial resistance in bacteria
  • Experience with modelling hierarchical herd structures and trade patterns
  • Modelling spread of disease within and between herds
  • You have expertise in both stochastic and deterministic modelling
  • Coding simulation models in statistical software
  • You enjoy working with complex topics
  • Communication with non-statisticians

Flexibility and self-motivation are desired skills at DTU. In addition, we expect you to be interested in collaboration and take personal responsibility for your work.

Assessment
In the assessment of the candidates, consideration will be given to:

  •  Research impact and experience, funding track record, and research vision
  • Experience and quality of teaching
  • Societal impact
  • Documented innovation activities, including commercialization and collaboration with industry
  • International impact and experience
  • Leadership potential and collaboration
  • Communication skills

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 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. You can read more about career paths at DTU here.

Further information
Further information may be obtained from Lasse Engbo Christiansen, +45 4525 3315.
You can read more about DTU Compute at www.compute.dtu.dk.

Application procedure
Please submit your online application no later than 27 November 2018 (local time). Apply online by clicking on the link "Ansøg".

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link, 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
  • Teaching and research statement, with a focus on the “Assessment” bullets points listed
  • Above
  • Documentation of previous teaching and research, as related to the “Assessment” bullet
  • points listed above
  • List of publications
  • H-index, and ORCID (see e.g. http://orcid.org/)
  • Diploma (MSc/PhD)

Applications and enclosures received after the deadline will not be considered. All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

Please write in your application that you've seen the job at Jobfinder.