PhD fellowships on MSCA-ITN in Climate Data Science (iMIRACLI)

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

This EU funded Marie Skłodowska-Curie Innovative Training Network (ITN) will fund 15 PhD students. 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.

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

The programme offers a unique opportunity to learn cutting edge machine learning techniques and climate science and apply them to the topic of aerosol-cloud interactions, one of the most pressing questions in climate research. We offer a comprehensive training programme, including annual summer schools, inter-disciplinary co-supervision and industrial secondments across Europe. Marie Curie ITNs provide a highly competitive salary to the ESR, including a generous monthly living and mobility allowance and (if eligible) a monthly family allowance.

iMIRACLI is fully committed to gender equality and the advancement of women’s careers in science. As part of our commitment to an open, transparent, impartial and equitable recruitment procedure, we strongly encourage applications from all who consider they meet the requirements of the programme, and particularly from women, who are often under-represented in academia.

Applicant Profile

We are looking for outstanding candidates with strong interests (but not necessarily prior knowledge) in climate and data science with a strong grades from their first degree as well as a demonstrated drive and aptitude for research. This ambitious training programme will be intense and requires a quantitative background.

Therefore, applicants should hold or be predicted to achieve the equivalent of the following qualifiations: a strong Masters or equivalent degree in atmospheric physics, meteorology, physics, mathematics, statistics, datascience, machine learning, computer science, engineering or related subjects.

To follow the training programme and being able to publish, applicants require proficiency in English at university level (see FAQ).

The final decission is taken on the basis of the candidates' scientific skills, the relevance of their research experience, the impact of the proposed training on their career, and ensuring a fair gender representation.


These EU funded Marie-Curie Innovative Training Network projects come with strict conditions in order to ensure the maximum benefit for everyone. All applications must:

  • Researchers are required to undertake transnational mobility (i.e. move from one country to another) when taking up their appointment. One general rule applies to the appointment of researchers: At the time of recruitment by the host beneficiary, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host beneficiary for more than 12 months in the 3 years immediately prior to the reference date. Note that the mobility rule applies to the beneficiary where the researcher is recruited, and not to beneficiaries to which the researcher is sent or seconded. Researchers can be of any nationality.
  • All researchers recruited in a Marie Sklodowska-Curie ITN must be Early-Stage Researchers (ESRs). A ESR shall, at the time of recruitment by the host organisation, be in the first four years of their research careers and not yet have been awarded a doctoral degree. The four years start to count from the date when a researcher obtained the degree which would formally entitle him/her to embark on a doctorate.
  • For all recruitment, the eligibility and mobility of the researcher will be determined at the time of their (first) recruitment in the project. The status of the researcher will not evolve over the life-time of a contract.

Please ensure you are happy to relocate and meet these criteria before applying.

Application Procedure

To apply, you will need to provide the following by the application deadline of 3rd February 2020 (by 23:59 UK time):

  • Curriculum vitae
  • Academic transcripts
  • Three reference letters, one of whom should be from a recent academic supervisor
  • Letter outlining your motivation, skills and fit for the programme (no more than 2 pages)
  • Ranked list of preferred projects (also determines preferred host institutions)

Applications will be centrally reviewed and shortlisted by the iMIRACLI Training Board with input from all supervisors. Shortlisted candidates will be notified and invited to apply to their preferred projects at the respective host institutions and interviewed via videoconferencing by local selection panels, in agreement with the selection rules of the respective Universities that also issue the formal academic offers.

More information here.

Deadline: 3 February 2020.