PhD student position in Environmental AMR – analysing drivers and barriers to the spread in aquatic and terrestrial environments

Climate-Sensitive Infectious Diseases lab, Germany

Updated: 13 days ago
Location: Heidelberg, BADEN W RTTEMBERG
Job Type: FullTime
Deadline: 15 May 2024

2 May 2024
Job Information
Organisation/Company

Climate-Sensitive Infectious Diseases lab
Research Field

Computer science » Other
Researcher Profile

First Stage Researcher (R1)
Country

Germany
Application Deadline

15 May 2024 - 23:00 (Europe/Berlin)
Type of Contract

Temporary
Job Status

Full-time
Offer Starting Date

2 May 2024
Is the job funded through the EU Research Framework Programme?

HE
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

At the Interdisciplinary Center for Scientific Computing (IWR), Climate-Sensitive Infectious Diseases lab, there is a 100 % position available from 01.06.2024, initially limited to 3 years.

Tasks:

  • Conduct an AI-driven systematic review to comprehensively analyze the current state of AMR in the environment.
  • Perform a detailed analyses to identify patterns of AMR in surveillance data from wastewater treatment plants.
  • Conduct an analysis of the AMR prevalence and trends in animals.
  • Provide support for the collection and analysis of human AMR cases together with other relevant environmental factors.
  • Undertake a comprehensive spatio-temporal analysis to examine the impact of microplastics on the spread of AMR in aquatic environments.
  • Take the lead in developing indicators for an integrated AMR One Health surveillance approach, with a focus on incorporating environmental factors.

 


    Requirements
    Research Field
    Computer science
    Education Level
    Master Degree or equivalent

    Skills/Qualifications

    Profile:

    • Master’s degree in Life Science, Data Science, or Public Health, preferably with cross-disciplinary experience in at least two of them
    • Proven ability to use R or Python
    • Experience in time-series or spatio-temporal analysis, preferably using Bayesian integrated nested Laplace approximation (INLA)
    • Experience applying machine learning methods, e.g. using extreme gradient boosting (XGBoost) and an interest in learning natural language processing (NLP)
    • Proven interest in environmental microbiology, environmental health/one health/planetary health, systems thinking and a strong commitment to produce science for policy impact
    • Experience in bioinformatics analysing metagenomes (taxa and functional genes) is an advantage
    • Experience in extracting environemntal data from remote sensing products is an advantage
    • Field work experience in sampling of environmental samples is an advantage
    • Lab work experience in environmental microbiology is an advantage
    • proven track record of ability to produce scientific writing in the form of publicationsis an advantage
    • Interdisciplinary competences: proven track record in team work and inter-cultural communication, ability to work independently, and great personal initiative and motivation.
    • English and German language.

    Languages
    GERMAN
    Level
    Excellent

    Languages
    ENGLISH
    Level
    Excellent

    Research Field
    Computer scienceMedical sciences » EpidemiologyBiological sciences
    Years of Research Experience
    1 - 4

    Additional Information
    Benefits

    We Offer:

    • A challenging, multifaceted position in a very exciting and iterdisciplinary scientific environment with motivated and qualified employees
    • Flexible and family-friendly working conditions
    • Attractive opportunities for further training to promote personal and professional development
    • Support for the mobility of our employees through a job ticket
    • Remuneration is based on TV-L.

    Additional comments

    We look forward to receiving your application, please send it with the usual documents (CV, motivation letter, and certificates) by 15.05.2024 via e-mail.


    Work Location(s)
    Number of offers available
    1
    Company/Institute
    Climate-Sensitive Infectious Diseases lab
    Country
    Germany
    City
    Heidelberg
    Postal Code
    69120
    Street
    INF 205
    Geofield


    Where to apply
    E-mail

    [email protected]

    Contact
    City

    Heidelberg
    Website

    https://csidlab.iwr.uni-heidelberg.de/index.html
    Street

    INF 205
    Postal Code

    69120

    STATUS: EXPIRED

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