Institute for Employment Research » IER News & blogs (tag [awards])

Congratulations to Dr Danya Nusseir on her ESRC IAA Postdoctoral Impact Fellowship

Mon, 28 Jul 2025 11:00:00 GMT

Following the completion of her PhD at the IER, Danya Nusseir will develop a policy and practice document and a digital skills training toolkit for refugee women to aid their employment integration as part of her ESRC IAA Postdoctoral Impact Fellowship, mentored by IER’s Gaby Atfield. Many congratulations to Danya on the award. For more information on her PhD and the award please visit the University of Warwick website.

Congratulations to all our recent PhD graduates

Tue, 26 Jul 2022 15:28:00 GMT

Congratulations to all IER PhD students who have graduated. Many will have received their award certificates by post over the last few years but the ceremonies provided us with an opportunity to celebrate. So our very best wishes go to Dr Lorraine Johnson, Dr Jeisson Cardenas Rubio, Dr Sharon Chohan, Dr Jiang Yang, Dr Rebecca Wilde, Dr Tannis Goddard and Dr Bhaskar Chakravorty.

We are very proud of all of students who have worked hard and are pleased that Jeisson, Rebecca and Bhaskar are continuing their careers at Warwick. Find out more about our alumni.

Congratulations to Dr Lorraine Johnson and Dr Jeisson Cárdenas-Rubio

Wed, 22 Jul 2020 06:13:00 GMT

We would like to congratulate two of our former students who have been awarded their doctorates today, Dr Lorraine Johnson and Dr Jeisson Cárdenas-Rubio.

Dr Johnson interviewed women about their transition from public sector work during a period of austerity focusing on the intermediary systems they used. Lorraine’s research evidenced the range of support systems used to aid transitions and provided a number of recommendations for careers practice. Lorraine is currently undertaking an early career fellowship at the Institute for Advanced Studies at the University of Warwick.

Dr Cardenas-Rubio investigated to what extent a web-based model of skill mismatches could be developed for countries where the information on the labour market is relatively scarce. Jeisson’s research drew upon innovative methods in web scraping, big data analytics and machine learning to produce labour market information for Columbia that was analysed to provide a picture of the Columbian labour market. We are pleased that Jeisson joined the IER team earlier this year.