Researcher in Environmental Data Analytics

Organisation
Luxembourg Institute of Science and Technology
Locations

Luxembourg

Application Deadline

Temporary contract | 18 months | Belvaux Are you passionate about research? So are we! Come and join us

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.

Do you want to know more about LIST? Check our website: https://www.list.lu/

Discover our Environmental Research and Innovation department: ERIN Department

As part of a Research and Technology Organization (RTO), the work of the Environmental Research and Innovation (ERIN) Department tackles some of the major environmental challenges our society is facing today, such as climate change mitigation, ecosystem resilience, sustainable energy systems, the efficient use of renewable resources, and environmental pollution prevention and control. You will join the Environmental Microbiology and Biotechnology research group, which among others develops new monitoring tools for the surveillance of the microbial safety of water resources.

How will you contribute?

You will participate in currently running projects of the research group. The SUPERVIR project aims to implement a national platform for the surveillance of viral pathogens in wastewater for early warning of human viral epidemics. You will be involved in the dashboarding task to develop a user-friendly informatics tool for data sharing and communication. The KNOWOURWATER project is a collaborative project between Luxembourg and Quebec, and it aims at integrating novel/untapped datasets and knowledge sources on the microbial pollution (fecal contaminants and cyanobacteria blooms) of surface waters using machine learning and Bayesian networks to improve models of water resources vulnerability to microbial contaminants.

You will be more particularly responsible for the following tasks:

  • Aggregation of datasets collected at multiple spatial and temporal scales
  • Production of weekly reports on water quality and cyanobacteria based on data collection made by the group
  • Develop data treatment pipelines and automatic generation of graphs
  • Apply machine learning and Bayesian network modelling tools in close collaboration with project team members
  • Investigate the environmental and the spatio-temporal drivers of microbial contaminants in wastewater and surface waters.
  • Actively contribute to project valorisation, including publication writing and participation in international conferences
  • Review content of life-long learning course material on water surveillance and wastewater-based epidemiology

You will work in a highly multi-disciplinary environment with specialists in microbiology, molecular biology, water science, biostatistics and bioinformatics. You must demonstrate an ability to work on different projects in parallel, with a special attention to details and contribute to the development of an interdisciplinary team approach through strong interactions with national and international project team members. You will exclusively work at the office using field and laboratory data collected by other members of the group.

Is Your profile described below? Are you our future colleague? Apply now!

Education

  • PhD in biological/environmental data analytics or equivalent

Experience and skills

  • Advanced skills in environmental data analytics
  • Advanced knowledge and skills in temporal series analysis
  • Knowledge and skills in machine learning
  • Knowledge and skills in Bayesian modelling
  • Strong autonomy and proactive thinking
  • Demonstrated publication writing skills
  • Good communication skills
  • Ability to work in an inter-disciplinary and multi-cultural work environment.
  • Driving license
  • Knowledge of wastewater and environmental surveillance is an asset
  • Know-how on e-learning development is also an asset

Language skills

  • Fluent command of English, knowledge in French is an asset

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 in all that we do
  • An environment encouraging curiosity, innovation and entrepreneurship in all areas
  • Personalized learning programme to foster our staff’s soft and technical skills
  • Multicultural and international work environment with more than 50 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, 11 public holidays, 13-month salary, statutory health insurance
  • Flexible working hours, home working policy and access to lunch vouchers

Apply online

Your application must include:

  • A motivation letter oriented towards the position and detailing your experience
  • A scientific CV with contact details
  • List of publications (and patents, if applicable)
  • Contact details of 2 references

Application procedure and conditions

  • We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.
  • LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.
  • Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.

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