PhD student position in Environmental AMR – analysing drivers and barriers to the spread in aquatic and terrestrial environments
Updated: 16 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
[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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