Time Series & Econometrics: Tenure-Track Assistant Professor

Aalborg University; Aalborg; On-site; DKK 480,000 - 640,000; Full time

Job summary

Aalborg University seeks a tenure-track assistant professor in Time Series Analysis and Econometrics to develop an independent research profile while contributing to teaching and interdisciplinary collaborations. The position is full-time and based on Aalborg University campus in Aalborg, Denmark.

The appointee will establish a research agenda in time series econometrics, collaborate with GREAT group, pursue external funding, and contribute to education at BSc, MSc and PhD levels.

Qualifications

• PhD-level qualification required.
• Autonomy in education and employment demonstrated.
• Experience across several universities and/or research institutions, preferably international.
• Skilled communicator with strong English at academic level.
• Ability to perform and supervise teaching at high academic standards.
• Expected to meet criteria for permanent employment as associate professor after tenure track.

Responsibilities

• Develop an independent research agenda in Time Series Analysis and Econometrics.
• Contribute to teaching and supervision across statistics, econometrics, time series at bachelor, master and PhD levels.
• Collaborate with national and international partners and seek external research funding.
• Publish high-quality research and present findings in conferences and seminars.
• Support development of courses and degree programmes and participate in examination duties.

Skills

Independent researcher

Potential for growth

Communication skills

Collaboration

Interdisciplinary research

International collaboration

Grant writing

Education

PhD

Job description

Aalborg University seeks a tenure-track assistant professor in Time Series Analysis and Econometrics to develop an independent research profile while contributing to teaching and interdisciplinary collaborations. The position is full-time and based on Aalborg University campus in Aalborg, Denmark.

The appointee will establish a research agenda in time series econometrics, collaborate with GREAT group, pursue external funding, and contribute to education at BSc, MSc and PhD levels.