BEMÆRK: Ansøgningsfristen er overskredet
What if you could use your data science expertise to tackle environmental challenges and shape sustainable solutions for the future? Do you thrive in dynamic, interdisciplinary teams, and would you like to work on innovative projects that significantly impact pollution legislation and environmental protection? And what if your expertise were not only applied in research but also in advising government ministries and key stakeholders to make data-driven decisions that safeguard our environment? If this sounds like you, we would love to hear from you!
The Department of Environmental Science at Aarhus University seeks to advance its research and advisory programs by focusing on large environmental data trends, pollutants, and chemometrics, aiming to address key global challenges. The academic employee position in environmental data science is crucial to this strategy, as the role will enhance our ability to analyse and interpret complex environmental data. The position is to be filled as soon as possible.
Tasks:
You will participate in both research projects and advisory projects, the latter mainly for the Danish ministry of Environment. Both research and advisory projects aim to understand the fate and dynamics of environmental pollutants, helping ministries and environmental agencies regulate chemicals and protect our environment. You will work alongside a dynamic, multidisciplinary team of laboratory technicians, students, and researchers, making collaboration a key part of your role.
Your main task will be to develop offline and online data treatment tools and resources for the Environmental Chemistry and Toxicology section. Depending on your interests, you could also explore data management, curation and analysis, GIS and sharing educational material. Your expertise in prediction-focused data science methods will be essential in solving chemometric tasks and analysing large monitoring programs, directly contributing to solving real-world environmental issues.
In your role, you will design and implement cutting-edge data science solutions, developing chemometric and bioinformatic pipelines to process, analyse and interpret multi-modal data (e.g., omics, images, etc.). You will also have the opportunity to supervise students, collaborate with various research groups, and shape the Department’s data science strategy. Plus, you will take part in department-wide initiatives such as workshops, presentations and events related to data science.
Qualifications
The ideal candidate possesses the following qualifications:
- A MSc or PhD in computational chemistry, statistics, mathematics, computer science, or a related field
- Advanced knowledge of Python and its scientific libraries and data stack (e.g., NumPy, pandas, SciPy, scikit-learn, PyTorch)
- Proficiency in statistics and machine learning, including the ability to use statistical techniques to analyse data, build predictive models, and evaluate their performance
- Software engineering skill, including documentation, testing, and CI/CD practices
- Experience in, or motivation to learn, the design, implementation, and deployment of machine learning models
- Willingness to learn new topics in both technical (data science) and domain-specific areas (chemical and environmental science)
- Curious, proactive, motivated, and capable of working independently as well as collaboratively in teams
- Experience in, and willingness to, supervise and train other team members and colleagues
- Strong communication skills, with the ability to guide and inspire non-technical audiences
- Excellent written and spoken English
- Experience in processing, analyzing, and interpreting chemical, biological, or environmental datasets
- Domain knowledge in environmental chemistry (e.g. non-target screening, mass spectrometry) and/or omics (e.g., genomics, transcriptomics, proteomics, metabolomics)
- Experience with cloud environments (e.g., Microsoft Azure)
- Knowledge of databases and data standardization (e.g., SQL, NoSQL, ontologies)
- Proficiency in additional programming languages is an advantage
Formalities and salary range
Salary and terms as agreed between the Danish Ministry of Taxation and the Confederation of Professional Unions.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.
The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.
Aarhus University
Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 38,000 students (FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn more at www.international.au.dk/
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Roskilde Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Aarhus Universitet, Frederiksborgvej 399, 4000 Roskilde
-Ansøgning:
Ansøgningsfrist: 17-10-2024; - ansøgningsfristen er overskredet
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/6121802
