Open research positions

Excellent curious and creative M.Sc. and Ph.D. students with a strong analytical background and programming skills are welcomed to contact me.

Students

• Vivian Simon, “Exploring the transformative impact of generative Artificial Intelligence: An in-depth modeling & analysis of its Influence on human resources analytics and automated selection tools for modern human capital management”, Joint supervision: Dr. Neta Rabin [Ph.D. 2028].
• Ayelet Dabush, “Human Resources Analytics: A bi-Level optimization model for Skill-Fit Model”. Joint supervision: Prof. Yossi Buckchin [M.Sc. 2024].
• Atzil Alon, “Person-Skill Fit Model: utilizing skills to advance machine learning-based Job Recommender Systems (JRS)”. Joint supervision: Prof. Irad Ben Gal [M.Sc. 2024].
• Inbal Singer, “Maximizing company profit through employee retention: A bi-level optimization approach”.  Joint supervision: Prof. Yossi Buckchin [M.Sc. 2023].
• Maya Hocherman, “Digital phenotyping of smartphone data successfully predicts a broad range of personality constructs”. Joint supervision: Prof. Yonathan Mizrachi [M.Sc. 2022].
• Vivian Simon, “Gender bias in Artificial Intelligence recruitment systems based on Machine Learning Analysis of LinkedIn Profiles”. Joint supervision: Dr. Neta Rabin [M.Sc. 2021].
• Efrat Kadosh, Artificial Intelligence acceptance and transformation in Primary Healthcare” [M.Sc. 2020].
• Efrat Mainzer, “Performance evaluation and employee retention platform for the service sector” [M.Sc. 2020].
• Dan Avrahami, “A human resources analytics and Machine-Learning examination of employee turnover: implications for theory and practice”. Joint supervision: Prof. Irad Ben Gal and Prof. Gonen Singer [M.Sc. 2020].
• Ksenya Shulayev, “Employee well-being through a performance management system in the service sector”. Joint supervision: Prof. Shulamith Kreitler [Ph.D. 2016].