2026 PhD Candidate Job Market Board

Curriculum Vitae

Areas of Interest: Quantitative Finance, Portfolio Optimization, and Risk Management; Time Series Forecasting and Data-Driven Trading Strategies; Financial Machine Learning, Deep Learning, and NLP for News Sentiment; Applied Statistics, Optimization, and Predictive Analytics; Algorithmic Trading and Equity/Derivatives Markets

Publication(s):
A constrained multi-period robust portfolio model with behavioral factors and an interval semi-absolute deviation

PhD Supervisor(s):
Roman Makrov

Curriculum Vitae

Areas of Interest: Applied Statistics and Data Analytics for Operations Management, Supply Chain, and Transportation; Marketing Survey Research and Mixed Methods Evaluation; Discrete and Hybrid Choice Modelling With Stated Preference Data; Operations Research and Optimization for Facility Location and Fleet Planning; Spatial Statistics and Equity Analysis for Air Quality and Urban Logistics

Publication(s):
The impact of digital transformation on supply chains through e-commerce: Literature review and a conceptual framework

PhD Supervisor(s):
Elkafi Hassini

Curriculum Vitae

Areas of Interest: Supply Chain Management, Operations Management Engineering, Strategic Management

Publication(s):
Optimizing warehouse space allocation to maximize profit in the postal industry

PhD Supervisor(s):
Elkafi Hassini

Curriculum Vitae

Areas of Interest: Computational science, DFT, First principal calculation, Li Ion Battery, Gas Sensing, Quantum,

Publication(s):
A novel high-performance methane sensor based on Ti-Decorated 2D γ-graphyne: A dispersion-corrected DFT insight

Ti-Decorated SiC2 as a High-Performance Anode Material for Li-ion Batteries: A DFT-D2 Approach

Enhanced methane-sensing performances of Pd (monomer or dimer) decorated or doped γ-Graphyne: A DFT insight

Specific CH4 gas sensor based on tungsten carbide/SnO2 core-shell modified interdigitated electrode

PhD Supervisor(s):
Seshasai Srinivasan
Mohammad Hossein Sheikhi
Rosa Safaiee

Curriculum Vitae

Areas of Interest: Data Science, Statistical Modeling, Machine Learning, Clustering, Reinforcement Learning, Imbalanced Classification, Model Calibration, Personal Finance, Health Care, Wildland Fire

Publication(s):
Using Platt's scaling for calibration after undersampling — limitations and how to address them

An exploratory clustering analysis of the 2016 National Financial Well-Being Survey

Comparing calibrated statistical and machine learning methods for wildland fire occurrence prediction: a case study of human-caused fires in Lac La Biche, Alberta, Canada

PhD Supervisor(s):
Doug Woolford
Dan Lizotte

Curriculum Vitae

Areas of Interest: Optimization, Machine Learning, Graph Neural Networks, Quantum Computing, Large Language Models

Publication(s):
ARM-Explainer -- Explaining and improving graph neural network predictions for the maximum clique problem using node features and association rule mining

PhD Supervisor(s):
Elkafi Hassini

Curriculum Vitae

Areas of Interest: Statistical Analysis in Biomedical Data, Quantitative Trading

Publication(s):
Two-sample inference for sparse functional data

Learning Shared and Source-specific Subspaces across Multiple Data Sources for Functional Data

Order determination for functional data

PhD Supervisor(s):
Peijun Sang
Yingli Qin