Building the first-ever cognitive recruitment engine for intelligent and personalised hiring decisions  (16/29)

Company: MeVitae

Location: ESA, Harwell

Company Description

MeVitae is where space and recruitment technology meet. Companies suffer from bad hiring. Harvard Business School states that 80% of employee turnover (proportion of employees who leave an organisation over a set period) is due to bad hiring decisions. MeVitae is bringing order to the chaos of recruitment through applying technology up in space to recruitment to make better hiring decisions and solve the biggest recruitment problems of today and tomorrow.

Companies worldwide want to find the best candidates for a job, whilst reducing time and cost. Existing solutions are manual, use keyword matching or algorithms that are too general. But companies like Apple and Google need a faster, more-simpler unified solution that is unique to them, and the problems we are facing today are too complicated for a single human to solve. The entity that’s going to solve the problem is the interaction of humans, space and machines working together to make an integrated intelligence. Through a powerful amalgamation of Big Data, space technology, artificial intelligence, and pattern recognition we can make intelligent hiring decisions to find the best candidate for corporate firms.

MeVitae was co-founded by Riham Satti, a Neuroscientist and Biomedical Engineer and Vivek Doraiswamy, a Computer Scientist and an Electronics & Communications Engineer while at University of Oxford. The board members are from Microsoft UK HQ and Oxford University, in addition to support from the European Space Agency and UKTI.

Project Description

MeVitae is looking for that go-getter, all-star intern to join the strong team for the summer working independently and jointly in a vibrant Start-up atmosphere. The mission of the candidate is to help build the technological foundations of the recruitment engine.

The volume, velocity and variety of data are continuously increasing. There are 277,000 Tweets every minute, Google processes over 2 million search queries every minute, more than 100 million emails are sent every minute, and Facebook processes 350 GB of data every minute. It is estimated that 90% of the world’s data has been created over the past 2 years. MeVitae aims to read and understands unstructured text that makes up 80% of the world’s data and converts them into structured meaningful information via natural language processing. MeVitae aims to provide a comprehensive mapping of words and data, including the connections (i.e. relationship) between them. For example, MeVitae can detect what percentage of computer programming skills a neuroscientist possesses. The power of semantics (study of the meanings of words and phrases in language) and linguistics goes beyond the inefficient keyword matching. The ultimate goal of this project is to take advantage of these opportunities by collecting heterogeneous data from multiple sources and develop statistical reasoning and meta-analysis models for CV analysis, for the machine to act as the world’s leading Human Resource (HR) executive.

The candidate will receive valuable insight into the world of high-tech start-ups.  By working closely with the co-founders the successful new team member will receive mentoring and networks from the likes of Microsoft and Oxford University. Furthermore, if all goes well a possible future job position at MeVitae!

Student Specification:

The new intern will be part of an intimate and vibrant team building, with a curiosity in space technology applied to non-space applications. He/She should have a sound knowledge, interest, and background in Statistics or Mathematics, or Big Data Analysis. The ability to learn or have a basic software programming knowledge of Java/C#

Target courses: The successful candidate should preferably be in the 3rd/4th year of their undergraduate degree in Engineering, Statistics, Mathematics or Computer Science

The Nitty Gritty

Work period to be agreed with successful candidate but nominally to start 1st July 2016, with the SpIN student induction day to be held at Harwell. Bursary of  £1,200 pcm.

Applications for this role are now closed

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