Utrecht University (UU) is currently searching for a data scientist to improve the international sharing of geophysical lab data and coordinate an international community of earth-scientific laboratories.
An important aim of EPOS MSL is to make data from the above disciplines more FAIR (findable, accessible, interoperable, and reusable). Recent work has ensured that data, published fragmented across Europe, is increasingly being made centrally findable at the EPOS data portal. However, the data remains highly heterogeneous, non-interoperable, and difficult for non-experts to understand and reuse. Specifically, the data are not yet prepared to facilitate an easy combination of multiple datasets or lookup values of input parameters for modelling work. The data scientist will strive to make the data that is being shared easier to re-use.
The position
The position includes two main responsibilities, with expected time partitioning between these as follows:
- Data science for EPOS Multi-Scale Labs (80%)
- EPOS-MSL coordination (20%)
Tasks
Specific responsibilities include:
- Perform user research;
- Identify the most common research areas within the disciplines included in EPOS Multi-Scale Laboratories;
- Identify target groups: who would use the data from these research areas?
- Explore how each target group could most readily access and reuse published data.
Duration: The employment contract is for 3 years.
Salary
- a full-time gross salary between € 3,226 and € 5,090 in scale 10 of the Collective Labour Agreement Dutch Universities (CAO);
- 8% holiday bonus and 8.3% end-of-year bonus
- a pension scheme, partially paid parental leave, and flexible employment conditions based on the Collective Labour Agreement of Dutch Universities.
Job Requirements
- The Data scientist position on how to improve re-usability of earth scientific lab data requires a background in rock physics or Analogue modelling of geological processes, ideally at the PhD level, but at a minimum at the MSc level.
- Previous experience contributing to inter-national data infrastructure networks is beneficial.
- The position further requires a high level of competence in English and strong organizational and communication skills.
- As well as enthusiasm for improving data sharing and open science.
Application Process
Applications in one pdf should include:
- a full curriculum vitae
- a letter of motivation
To apply for the Data Scientist Position on How to Improve Re-usability of Earth Scientific Lab Data, click here.
Deadline: December 04, 2023.
For more information on the Data Scientist Position on How to Improve Re-usability of Earth Scientific Lab Data, visit the official site.
