We are looking for our new teammate! More info here
You will be integrated in the BIODIV group where teammates will share their knowledge and know-how with you.
You will be mainly in charge of:
· Participating to RDI projects on biodiversity monitoring and assessment with autonomy and under limited oversight by the group leader or PIs
· Taking responsibility for setting priorities and scheduling work related to data architecture, management and processing across RDI projects in the group
· Contributing to the publication of high-quality research articles in peer-reviewed international journals
· Contributing to the identification of new opportunities for innovation or application
Your specific tasks will focus on:
· Designing and managing a biodiversity database platform centralising various types of monitoring data (including field records, samples, but also images-videos, sounds) collected across freshwater and terrestrial ecosystems in Luxembourg
· Leading the implementation of data architecture, data flows (from field collection to analysis) and data interoperability and exchanges with external systems from other relevant stakeholders in Luxembourg and beyond
· Strongly contributing to the development of innovative software solutions (e.g. modelling approaches, machine learning and AI-driven tools) for the processing and use of such data
· Participating to the development of novel hardware/software solutions for automated biodiversity data acquisition in the field (e.g. bioacoustics, camera trapping)
Is Your profile described below? Are you our future colleague? Apply now!
Education and experience
· Master’s degree and 3 years of work experience in a relevant discipline such as data science, computer science, biostatistics, bioengineering science or similar discipline. Education background in other disciplines such as biological or environmental sciences is possible if strong technical skills related to this job are demonstrated.
Skills
MUST HAVE
· Proficiency in programming languages for data engineering such as SQL (preferably PostgreSQL)
· Demonstrated experience with the management of big, diverse and complex biological datasets using dedicated software
· Proven expertise in data architecture, manipulation and visualisation
· Familiar with cloud computing and application software interfaces (APIs)
· Good understanding of statistical methods and knowledge of statistical software and associated programming languages
· Strong work organisation skills and capacity to plan work and establish priorities
· Detail-oriented skills and problem-solving attitude
· Experience with teamwork in an international and multicultural setting
· Full autonomy on the execution of duties not requiring supervision
NICE to HAVE
· Motivation for the preservation of the natural environment
· Knowledge of existing large research infrastructures for biodiversity data
· Hands-on experience with the analysis of biological data using dedicated software or programming languages (e.g. Python, R)
· Experience with GIS applications and their web services
· Knowledge of biodiversity monitoring programmes and good understanding of sampling designs
· Interest for machine learning and Artificial Intelligence (AI) tools and their use in biodiversity data science
· Interest for bioinformatic analyses of large and complex datasets derived from environmental DNA (eDNA) samples
· Experience with collaboration tools like Git (GitHub) and related solutions
· Experience with (or marked interest for) novel technologies and their application to biodiversity sampling and monitoring
· Enthusiasm for flora and fauna in Luxembourg
Language skills
· Good level in both written and spoken English. French or Luxembourgish would be an asset.