Project description
Searching for work in the digital era
Networking in the digital age is still about boosting career connections to maximise opportunities. However, technological advances have changed the way candidates apply for jobs and how businesses search for qualified candidates. The EU-funded AIRE project is developing a new job matching mechanism through innovative computational methodologies for processing, improving, and disseminating employability patterns. It is using artificial intelligence (AI) and machine learning to match candidates to roles accurately and without bias, identify skills gaps for candidates, and enable employees to keep their skills relevant in an ever-evolving job market. The goal is to improve the quality of hiring and standardise the matching between candidates’ experience, knowledge skills and job requirements.
Objective
The digital age has permeated our daily lives. The data we consume and create results in analytic processes informing how we work, eat, play, live. Companies need to understand, analyse and develop their Human Capital to remain competitive and future proofed.
Present technology is not serving the market effectively. CVs have long outstayed their use for employers and overburden HR systems. EU citizens need to be able to assess their skills versus a changing job market to keep pace; putting them in the best position to successfully be hired.
Our innovative approach to solving the bottleneck between jobseekers and job vacancies sets us apart. Our disruptive platform, AIRE, uses AI & Machine Learning to accurately and without bias, match candidates to roles, identify skills gaps for candidates and enable employees to keep their skills relevant in an ever-evolving job market.
Our vision will create a scalable solution to empower EU citizens to maximise their career potential. In line with our growth strategy, Allsorter is looking to employ an innovation associate to help us achieve the above goal. The post will be influenced from the domains of textual mining, machine learning and crowdsourcing. This field is novel precisely because it attempts to combine a longstanding promise of AI to improve the quality of hiring, which ability is focused around the use of data to standardize the matching between candidates’ experience, knowledge skills and the job requirements. This improvement in the job matching mechanism will utilize innovative computational methodologies for processing, improving, and disseminating employability patterns.
Fields of science
Programme(s)
Funding Scheme
CSA - Coordination and support actionCoordinator
14 DUBLIN
Ireland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.