The ALECS Fellowship Programme

About

Advanced Learning in Evolving Critical Systems (ALECS) is an innovative fellowship programme coordinated by Lero, the Science Foundation Ireland Research Centre for Software. The initiative is co-funded by the European Commission under the Marie Skłodowska-Curie programme and by Science Foundation Ireland, through Lero.

Aims

The aim of the programme is to provide training and career development to researchers through providing international mobility and intersectoral exposure. As a Marie Skłodowska-Curie fellowship, ALECS offers high quality professional opportunities open to researchers of any age, nationality and discipline who comply with the programme’s eligibility criteria.

Who is it for

The programme will fund 26 fellowships for researchers, who either have a PhD degree or who have at least 4 years equivalent full-time equivalent research experience.

Lero – the Irish Software Research Centre is the programme coordinator. However, a degree in Computer Science or Software Engineering  is not mandatory. Applications are open to candidates from complementary disciplines. 

Calls for Proposals

Fellows will be recruited over internationally advertised calls for proposals.

All candidates must discuss their research idea and seek the support of an eligible academic supervisor for their application. Applications without such support will not be considered.


Location

All fellowships will be based in Ireland where fellows will be hosted by their academic supervisor’s university.


READ MORE

Duration

The two-year fellowship will include an individual research project under the supervision of a leading Lero researcher and a secondment to the non-academic sector.

Research

Freedom to choose the research topic provided it falls within the programme’s broad research themes and the research interests of an ALECS academic supervisor.


READ MORE

Secondment

Fellows will undertake a mandatory 3-6 months secondment as part of their fellowship.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 754489.