PhD Researcher (f/m/x) in In4Nile PhD-Cohort: Spatio-temporal patterns of water quality drivers and pollution pathways
PhD Researcher (f/m/x) in In4Nile PhD-Cohort: Spatio-temporal patterns of water quality drivers and pollution pathways
PhD Researcher (f/m/x) in In4Nile PhD-Cohort: Spatio-temporal patterns of water quality drivers and pollution pathways
PhD Researcher (f/m/x) in In4Nile PhD-Cohort: Spatio-temporal patterns of water quality drivers and pollution pathways
Helmholtz-Zentrum für Umweltforschung
Forschung
Leipzig
- Art der Beschäftigung: Vollzeit
- 47.500 € – 56.000 € (von XING geschätzt)
- Vor Ort
- Zu den Ersten gehören
PhD Researcher (f/m/x) in In4Nile PhD-Cohort: Spatio-temporal patterns of water quality drivers and pollution pathways
Über diesen Job
PhD Researcher (f/m/x) in In4Nile PhD-Cohort: Spatio-temporal patterns of water quality drivers and pollution pathways
Place of work
LeipzigWorking time
65 % (25,35 h / week)Contract limitations
limited contract / 36 monthsSalary
Remuneration according to the TVöD public-sector up to pay grade 13 including attractive public-sector social security benefits.Contact
Your contact for any questions you may have about the job:
Pia Ebeling (pia.ebeling@ufz.de)
Your application
Please submit your application via our online portal with your cover letter, CV (please omit your photo, age, or marital status) and relevant attachments.
Diversity and Inclusion
The UFZ has a strong commitment to diversity and actively supports equal opportunities for all employees regardless of their origin, religion, ideology, disability, age or sexual identity.
We look forward to applications from people who are open-minded and enjoy working in diverse teams.
The UFZ
The Helmholtz Centre for Environmental Research (UFZ) with its 1,100 employees has gained an excellent reputation as an international competence centre for environmental sciences. We are part of the largest scientific organisation in Germany, the Helmholtz association. Our mission: Our research seeks to find a balance between social development and the long-term protection of our natural resources.
Your tasks
- Compile, harmonize, and analyze heterogeneous spatial and temporal data on pollution drivers (e.g. land use, population, sanitation, and industry) across the Nile River Basin.
- Develop and apply data-driven (geospatial, statistical, and machine-learning) approaches to identify pollution hotspots, assess risks along the river network, and explore relationships between pollution sources, pathways, and water quality.
- Collaborate with other PhDs of the In4Nile cohort to integrate results and contribute to a basin-scale understanding of water quality dynamics.
We offer
- Excellent supervision and optimal professional and interdisciplinary qualification through our HIGRADE graduate programme
- The freedom to master even the most demanding challenges between basic research and practical application
- The opportunity to work in interdisciplinary, international teams and benefit from a wide range of perspectives
- Firstclass integration into national and international research networks to work together on global challenges
- Excellent research infrastructure and research data management to optimally support your work
- A wide range of options for balancing care responsibilities and work through our family office
- Competent support and advice for international colleagues arriving at the UFZ from the ‘International Office’
- Special annual payment, capital-forming benefits and subsidised Deutschland-Job-Ticket
- A workplace in a vibrant region with a high life quality and social and cultural diversity
Your profile
Required:
- Master’s degree in Environmental Sciences, Geoinformation Science, Environmental Engineering, Hydrology & Water Management, Geoinformatics, Data Science with focus on the environment, or a related discipline.
- Strong interest in water quality, spatial data analysis, and environmental sustainability.
- Experience data processing and analysis, including geodata.
- Motivation to work in a multidisciplinary, international team.
- Excellent knowledge of written and spoken English.
- Experience in handling large geodata sets and data management.
- Experience in programming (e.g., Python)
- We especially invite candidates from the Nile basin area and other African countries to apply for this position.
