PhD Scholarship in Automated Monitoring of Online Communities (IIIA-CSIC-DC2) - REDI (RMIT European Doctoral Innovators) Program

This is a 36-month research position (extendable up to 48 months) based in Spain at IIIA/CSIC (

The position is funded by European Union under the MSCA COFUND Action: RMIT European Doctoral Innovators (REDI) program. The selected Researcher will be enrolled at RMIT University and the Autonomous University of Barcelona (UAB) as a Doctoral Student. 

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REDI is a unique PhD training program offering industry-supported positions with excellent salaries, enviable international experiences including a residential year in Melbourne, Australia and annual workshop weeks in Barcelona, Spain, top-class training as well as networking with academic and industry leaders across 60+ supporting partners.

REDI is looking for one Researcher (with less than 4 years of research experience and not in the possession of a Doctoral Degree yet), who will be closely working with both RMIT University(Australia) and IIIA/CSIC (Spain) on one of the following research projects:


Project 1: Graph Neural Networks for language

The overall aim of the research is to analyze the potential contributions of the network structure in the construction of language models. The project will investigate AI techniques to take advantage of the links between documents (for example reference between scientific articles, responses or citations between tweets) as an opportunity to build better text representations.


Project 2: Graph Neural Networks for material sciences

The overall aim of the research is to contribute to current research in applications of Graph Neural Networks in material sciences research. GNNs are expected to enable an accurate and interpretable prediction of the properties of materials. The idea of the work is to expand the research ideas in [Dai2021].

Dai, M., Demirel, M.F., Liang, Y. et al. Graph neural networks for an accurate and interpretable prediction of the properties of polycrystalline materials. npj Comput Mater 7, 103 (2021).


Project 3: Graph Neural Networks for biomedical image segmentation

The overall aim of the research is to contribute to biomedical image segmentation tasks through the use of Graph Neural Networks. The idea of the work is to apply the research ideas developed in [Alon2022] for another biomedical image segmentation tasks. Specific examples will be oocytes and embryos from mammals.

Alon, Yoav & Zhou, Huiyu. (2022). Neuroplastic graph attention networks for nuclei segmentation in histopathology images.

Research Fields: Artificial intelligence, Data Science

The Researcher will be supervised by Prof. Jesus Cerquides (IIIA-CSIC), Jeffrey Chan (RMIT) and Azadeh Alavi (RMIT).

The Researcher will be based at IIIA/CSIC (Spain) for at least 36-month and will be awarded a dual PhD by the Autonomous University of Barcelona (UAB) and RMIT.

The remuneration, in line with the European Commission rules for Marie Skłodowska-Curie grant holders, will consist of a gross annual salary of est. 28.330 EUR  (gross amount before employee's taxes and contributions). Of this amount, the estimated net salary to be perceived by the Researcher is est. 1.800 EUR net per month. However, the definite amount to be received by the Researcher is subject to national tax legislation.

Benefits include:

  • Paid holiday leave
  • Sick / injury leave
  • Parental leave
  • 1,000€ yearly travel allowance to cover flights and accommodation to participate in the annual
  • workshop at RMIT Europe in Barcelona (Spain)
  • 10,000€ allowance to cover flights and living expenses for up to 12 months in Australia.

1 position valued at up to 28.330 EUR per annum for 3 years full time, with possibility for 12month extension.

Applications close on 19th September 2022

One scholarship is available. 

To apply for REDI, you must comply with the MSCA-COFUND eligibility criteria by the application deadline:  

Be in the first four years (Full-Time Equivalent (FTE) research experience of your research career and not yet have been awarded a doctoral degree. FTE Research Experience is measured from the date when a researcher obtained the degree entitling him/her to embark on a doctorate, AND 

Not have resided or carried out your main activity (work, studies, etc.) in the country of your research host for more than 12 months in the 3 years immediately before this call’s deadline. Time spent as part of a procedure for obtaining refugee status under the Geneva Convention (1951 Refugee Convention and 1967 Protocol), compulsory national service and/or short stays such as holidays is not taken into account. 

AND the following criteria:  Hold a master’s OR equivalent degree (for example bachelor’s degree with honours) in a discipline related to the research project of your choice, including a research component that allows you to enrol in a university doctoral programme by January 2023, AND

Have evidence of appropriate academic qualifications and/or professional experience demonstrating that the applicant has developed knowledge of the field of study or cognate field and the potential for research sufficient to undertake the chosen project.  AND  

Have English level C1 language proficiency. 

In addition to the above, if your application is successful, you will be required to: 

Apply for a working visa in Spain 

(More information visit this website.

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.