Ie-2324 Environmental Data Quality Control Process

il y a 2 semaines

EschsurAlzette, Luxembourg Luxembourg Institute of Science and Technology (LIST) Temps plein

Description
**Are you passionate about research? So are we**:
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.

**You'd like to contribute as an intern? Join our Environmental Research and Innovation department**:
The Environmental Research and Innovation (ERIN) department, made up of 200 life science, environmental science and information technology researchers and engineers, provides the interdisciplinary knowledge, expertise and technologies to lead solutions including the major environmental challenges facing society, such as climate change mitigation, ecosystem resilience, sustainable energy systems, efficient use of renewable resources, and environmental pollution prevention and control.

The department relies on two cutting-edge platforms, the Biotechnologies and Environmental Analytics Platform and the Observatory for the Climate and the Environment, and the GreenTech Innovation Centre (GTIC): a one-stop-shop for the complete development of bio-based products and processes.

**How will you contribute?**:
We are seeking a highly motivated Environmental Data Validation Intern to join our team. As an Environmental Data Validation Intern, you will be responsible for developing a Python script to validate environmental time series data.

You will mainly focus on developing a script to facilitate the climate data quality control processing chain. More specifically:

- Collaborating with the data management team to understand the structure of the environmental time series data
- Developing a Python script to validate the environmental time series data
- Contributing to the development of the quality control process automation for the environmental data
- Working with the data management team to test and to refine the Python script
- Documenting the Python script and creating a user manual

You are a Master student in computer science, data science or comparable studies.

You must have:

- Good knowledge of the programming language Python
- At least an upper-intermediate level of English (spoken and written)
- Ability to work independently and as part of a team
- Strong organizational and time management skills

In addition, it is beneficial if you have:

- Knowledge on climate or other environmental data
- Experience with version control systems like Git
- Experience with other programming languages like R

**Your LIST benefits**:
An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects;
Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society;
Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations such as our Viswall, high-scale incubators and top of the range 3D/4D printings that are part of our toolkit for excelling in all we do;
Multicultural and international work environment with more than 45 nationalities represented in our workforce;
Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions;
Gender-friendly environment with multiple actions to attract, develop and retain women in science;
32 days’ paid annual leave for a full time internship, 11 public holidays per annum, flexible working hours,

An environment encouraging curiosity, innovation and entrepreneurship in all areas.

**Application procedure and conditions**:

- Applications will be reviewed on an ongoing basis until the position is filled;
- The main criteria for selection will be the correspondence of the existing skills and expertise of the applicant with the requirements mentioned above.



Languages English Education Master Experience 0+ years

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