(Ph.D.) Research Associate - Imperial - AI in Engineering Biology
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Imperial College London
Doctor of Philosophy (Ph.D.), Mathematics
January 1, 2014 – December 1, 2021
University of Warwick
Master's degree, Interdisciplinary Mathematics
January 1, 2011 – January 1, 2012
University of Tehran
Master of Science (MS), Atmospheric Sciences and Meteorology
January 1, 2002 – January 1, 2005
Amirkabir University of Technology - Tehran Polytechnic
BSc, Physics
January 1, 1996 – January 1, 2002
Imperial College London
Associate Researcher
September 1, 2025 – Present
Imperial College London
Associate Researcher
April 1, 2022 – September 1, 2025
University of Reading
Senior Data Scientist
April 1, 2019 – August 1, 2019
Centrica
Data Scientist
January 1, 2019 – March 1, 2019
London Area, United Kingdom
Barclays UK
Senior Machine Learning Engineer, VP
February 1, 2017 – December 1, 2018
London Area, United Kingdom
L&A Consultants Ltd.
Data Analyst
August 1, 2012 – February 1, 2017
Sazmand
Software Developer
January 1, 2002 – January 1, 2008
Cultural Fit Analysis
The candidate has a diverse background spanning academic research and industry roles in different sectors (consulting, finance, energy). This breadth of experience could indicate adaptability and a willingness to engage with various challenges. However, the short tenures in some industry roles (e.g., Centrica, University of Reading) might warrant further investigation regarding long-term commitment and cultural integration. The target role of Data Analyst aligns with previous experience, suggesting a good fit for the role's technical demands.
Soft Skills & Operational Fit
The candidate's extensive academic and research background suggests strong analytical and problem-solving skills. However, without specific project descriptions or interview data, it is difficult to assess communication, teamwork, and other soft skills. The varied roles indicate adaptability.