Job advertisement PhD studentships in new Innovative Training Network iMIRACLI on machine learning in climate science

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European Geosciences Union

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PhD studentships in new Innovative Training Network iMIRACLI on machine learning in climate science

Position
PhD studentships in new Innovative Training Network iMIRACLI on machine learning in climate science

Employer
German Aerospace Center (DLR) and University College London logo

German Aerospace Center (DLR) and University College London

Two vacancies at the Institute of Data Science, German Aerospace Center (DLR), Jena, Germany
One vacancy at the Department of Electronic and Electrical Engineering, University College London, UK

Homepage: http://www.imiracli.eu


Location
Jena (Germany) and London (UK), United Kingdom of Great Britain and Northern Ireland

Sector
Academic

Relevant divisions
Atmospheric Sciences (AS)
Geosciences Instrumentation and Data Systems (GI)

Type
Full time

Level
Student / Graduate / Internship

Salary
ITN living allowance: gross before taxation and deductions EUR 3 270 per month, adjusted by country specific correction coefficient, plus mobility allowance of EUR 600 per month.

Preferred education
Master

Application deadline
Open until the position is filled

Posted
1 May 2020

Job description

iMIRACLI Innovative Training Network (ITN)

3 PhD studentships to work with leading climate and machine learning scientists across Europe to tackle the issue of aerosol-cloud interactions

Admissions open now

iMIRACLI (innovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts) brings together leading climate and machine learning scientists across Europe with non-academic partners to educate a new generation of climate data scientists.

This EU funded Marie Skłodowska-Curie Innovative Training Network (ITN) will fund 15 PhD students across Europe. They will develop maching learning solutions to deliver a breakthrough in climate research, by tracing and quantifying the impact of aerosol-cloud interactions from the microscale to large-scale climate.

Each student will have an interdisciplinary supervisory team, combining academic climate and machine learning supervisors as well as a non-academic advisor. International secondments to co-supervisors as well as to the non-academic partners will enrich student experience and training.

PhD students will begin their projects in September 2020, kicking off with a summer school held at Oxford.

This project receives funding from the European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie grant agreement No 860100.


How to apply

Candidates must be Early-Stage Researchers (in the first four years of their research careers and not yet have been awarded a doctoral degree) and are required to undertake transnational mobility (move from one country to another).

Applications for studentships are open now. Applications at DLR are open until filled. Applications at UCL have an application deadline of 8 May 2020. All applications details are outlined on the iMIRACLI project webpage:

www.imiracli.eu