Expert - Environmental data and information management

ELIGIBILITY CRITERIA:

Candidates applying must satisfy the following eligibility criteria on the closing date for the submission of applications:

a) Successful completion of university studies attested by a degree relevant to the field concerned of at least 3 years, plus 1 year of appropriate professional experience;

b) A minimum of 3 years of relevant professional experience after achieving the qualification set out above.

In addition, in order to be eligible a candidate must:

• Be a national of one of the member countries of the EEA (Member States of the European Union plus Iceland, Liechtenstein, Norway, Switzerland and Turkey);
• Enjoy full rights as a citizen;
• Have fulfilled any obligations imposed by law concerning military service;
• Have a thorough knowledge of one of the languages of the EEA member countries and a satisfactory knowledge of another of these languages (corresponding to level B.2 of the Common European Framework of Reference for languages CEFR);
• Meet the character requirements for the duties involved;
• Be physically fit to perform the duties linked to the post. 

Candidates should assess carefully and check before submitting their application whether they fulfil all the conditions for admission laid down in the vacancy notice, particularly in terms of qualifications and relevant professional experience.

SELECTION CRITERIA:

Candidates will be requested to demonstrate and describe experience where the following competencies have been applied. This should be done by providing concrete examples of tasks where these have been applied.

Essential:

• Data and information management

Thorough knowledge of or demonstrated professional experience in management of environmental and/or climate data and information. This can be either from within a specific thematic area (e.g. air quality, climate change adaptation), or from different sources such as in situ observation networks, remote sensing, geospatial data, citizen science and Internet of Things, provided in different formats (e.g. unstructured and structured data, tabular, raster, vector. This includes  data quality control and quality assurance methods.

• Data science

Thorough knowledge of or demonstrated professional experience in analysing data to extract relevant knowledge such as key indicators, trend assessments etc. This includes use of data intelligence tools, data assimilation,  in-depth statistical analysis of  data, geospatial analysis using GIS and data visualisation such as interactive graphs, maps or dashboards.

• Project Management

Excellent project management skills including applying project management methodologies and ability to plan, organise, monitor, and control projects. This includes the efficient utilisation of technical and administrative resources to achieve project objectives.

• Collaboration/Networking/Stakeholder Management/Partnership

Supporting an environment of co-operation and sharing of information, ideas and resources for co-creating of knowledge. This includes participating in working groups, partnerships or networks at European or international level. 

• Communication and interpersonal skills *

Proven communication and interpersonal skills, with a demonstrable ability to establish and maintain effective working relationships in a multicultural environment. 

• Written and spoken English

Excellent command of written and spoken English language, at least at level C1 in all categories according to the Common European Framework of Reference for Language.

* Will only be tested at the stage of interview/written test.

Advantageous:

• e-Reporting experience

Proven experience working in multi-cultural, diverse organisations on e-reporting using Reportnet or other similar IT tools.

• Earth observation experience

Proven experience and knowledge about the national, European and/or global in situ and space based Earth observation data landscape e.g. activities carried out within the Group of Earth Observation or the Copernicus Earth Observation Programme.