Professor / Associate Professor / Assistant Professor - Mathematical Economics, Applied Econometrics, and Quantitative Techniques at James Hope University Business School

Job Description

• James Hope University is seeking a dynamic and accomplished individual to join our faculty as a Professor / Associate Professor / Assistant Professor - Mathematical Economics, Applied Econometrics, and Quantitative Techniques in our esteemed Business School (JHBS).
• The successful candidate will be responsible for conducting innovative research, delivering high-quality teaching, and contributing to the academic and intellectual life of the institution.
• This role offers an exciting opportunity to engage with students, collaborate with colleagues, and make meaningful contributions to the field of economics.

Responsibilities

• Conducts research on econometric methods, time series analysis, and panel data techniques, mathematical modelling, optimization, and computational economics.
• Teaches courses on econometric theory, applied econometrics, and empirical methods, mathematical economics, quantitative methods, and computational techniques.
• Deliver engaging and rigorous courses in economics and econometrics at the graduate levels.
• Conduct impactful research in the field of economics and econometrics, leading to publications in top-tier academic journals.
• Mentor and advise students, providing guidance and support in their academic and professional pursuits.
• Contribute to the academic community through service activities, including committee work and participation in professional organizations.
• Collaborates with researchers in various fields to apply econometric techniques to analyse economic data and evaluate policy interventions and applies mathematical and computational tools to study economic phenomena, develop economic models, and analyse policy alternatives.

Qualifications

• A Ph.D. in Economics, Econometrics, Mathematical Economics or a related field from an accredited institution.
• A strong record of scholarly achievement, including publications in peer-reviewed journals.
• Demonstrated excellence in teaching at the graduate levels.
• Ability to effectively communicate complex concepts and theories to diverse audiences.