AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Associate Professor at Mohamed bin Zayed University of Artificial Intelligence
Souhaib Ben Taieb is an Associate Professor at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, United Arab Emirates. His research spans artificial intelligence and statistics, including probabilistic machine learning, uncertainty quantification, model calibration, scoring rules, time series forecasting, and anomaly detection. Previously, he was an Associate Professor of Machine Learning at the University of Mons (UMONS) in Belgium. Before that, he served as a Lecturer (Assistant Professor) in Business Analytics in the Department of Econometrics and Business Statistics at Monash University in Melbourne, Australia. He was also a postdoctoral research fellow in the Spatio-Temporal Statistics and Data Science group at KAUST in Saudi Arabia. Souhaib holds a Ph.D. in Computer Science (Machine Learning) from the Free University of Brussels (ULB), where he also earned his B.Sc. and M.Sc. in Computer Science. He has secured competitive research funding from academic institutions and industrial partners, including collaborations with Huawei, John Cockerill, and Ion Beam Applications. He received a Doctoral Research Fellowship from the Belgian National Fund for Scientific Research (FNRS) and the Solvay Award for the best Ph.D. thesis. He currently serves as an Associate Editor for the International Journal of Forecasting and regularly reviews for leading conferences and journals in machine learning and statistics.
Université libre de Bruxelles
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2009 – January 1, 2014
Université libre de Bruxelles
M.Sc., Computer Science
January 1, 2007 – January 1, 2009
Université libre de Bruxelles
B.Sc., Computer Science
January 1, 2004 – January 1, 2007
Athénée Adolphe MAX
CESS, Mathematics and Sciences
January 1, 1997 – January 1, 2003
UMONS
Associate professor of Machine Learning (on leave)
September 1, 2024 – Present
MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)
Associate Professor of Statistics and Data Science
August 1, 2024 – Present
Abu Dhabi Emirate, United Arab Emirates · On-site
UMONS
Associate Professor of Machine Learning
January 1, 2019 – August 1, 2024
Monash University
Adjunct Senior Research Fellow
January 1, 2019 – December 1, 2023
Greater Melbourne Area
Saïd Business School, University of Oxford
Visiting Assistant Professor
March 1, 2016 – April 1, 2016
Greater Oxford Area
Stanford University
Visiting Assistant Professor
January 1, 2016 – February 1, 2016
San Francisco Bay Area
Monash University
Lecturer in Business Analytics
July 1, 2015 – December 1, 2018
Greater Melbourne Area
KAUST
Post-doctoral Research Fellow in Statistics
October 1, 2014 – June 1, 2015
Saudi Arabia
IDSIA
Visiting PHD Student
February 1, 2013 – February 1, 2013
Ticino, Switzerland
Monash University
Visiting PHD Student
September 1, 2011 – February 1, 2012
Greater Melbourne Area
F.R.S - FNRS
Doctoral Research Fellow in Computer Science (Machine Learning)
October 1, 2010 – September 1, 2014
Brussels Metropolitan Area
Université Libre de Bruxelles
Teaching Assistant in Computer Science
October 1, 2009 – September 1, 2010
Brussels Metropolitan Area
Aalto University School of Science and Technology
Master research internship
November 1, 2008 – January 1, 2009
Finland
The PhD forum
March 1, 2011 – Present
Feelings of frustration, phases of distress and depression are normal for PhD students. So, this group is a place for everyone to share ideas, experiences, best practices and tools for PhD students in order to keep them going !
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented. While this brings strong theoretical and analytical capabilities, the transition to a corporate Data Analyst role might require adaptation to different work cultures, priorities, and faster-paced project cycles. The lack of diverse project types beyond academic research and a single personal project without specified technologies suggests a potential gap in practical, industry-specific application of data analysis skills. The target role 'Data Analyst' is broad, and the candidate's profile aligns more with a research-focused data scientist or quantitative analyst rather than a typical business data analyst.
Soft Skills & Operational Fit
The candidate's extensive academic and research background suggests strong analytical thinking, problem-solving, and independent research skills. Experience as a teaching assistant and professor implies good communication and presentation abilities. However, the resume lacks specific details on project management, direct industry experience, or operational data analysis workflows, which are crucial for a typical Data Analyst role. The 'The PhD forum' project, while showing initiative, does not provide insight into technical project management or team collaboration in a business context.