EconJobMarket®

Advertiser: Faculty of Economics and Business Administration, Vilnius University

Field(s) of specialization: Econometrics - Finance - Other - Computational Economics

Position type(s): Postdoctoral Scholar

Location of job: Saulėtekio al. 9, Vilnius, 10221, Lithuania

Degree required: Doctorate

Job start date: Flexible

Job duration: 24 months

Salary: 32,232 to 75,144 EUR

Letters of reference required: 3

Application deadline: 1 Oct 2026 midnight UTC (accepting applications)

Posting end date: 1 Oct 2026

Ad text:

Hosting Information

Offer Deadline: Saturday, 1 October 2026 - 23:59

EU Research Framework Programme: European Union / Next Generation EU

Country: Lithuania

City: Vilnius

Organisation/Institute

Organisation / Company: Vilnius University

Department: Faculty of Economics and Business Administration

Contact Information

Organisation / Company Type: Higher Education Institution

Website: https://www.evaf.vu.lt/en/

Email: linas.jurksas@evaf.vu.lt

Postal Code: LT-10222

Address: Saulėtekio av. 9, 2nd building, Vilnius, Lithuania

Description:

Vilnius University (Lithuania) announces a call for postdoctoral fellowship for research topic: Impact of News’ Signals on European Sovereign Yields: Application of AI Tools

A position for a postdoctoral fellowship is available at the Faculty of Economics and Business Administration of Vilnius University.

Research will be carried out in a research group supervised by Doc. Dr. Linas Jurkšas.

About the research

Your main role of this postdoctoral fellowship would be to produce high-quality research, present the results and then draft papers.

The concrete objective is to evaluate the effects of defence vs other news on the yield curves of European countries (including Lithuania) by leveraging advanced AI and big data tools.

In this respect, the key tasks would be to:

- Distinguish NLP-based methods that extract defence / non-defence fiscal sentiment scores from textual media news (e.g. from Factiva) for Lithuania and other European countries.

- Leverage Machine Learning and other methods for uncovering effects of extracted fiscal signals and control variables on yield curves.

- Provide set of evidence-based recommendations for policy makers and other market participants.

- Present the results at the conferences and draft the paper(s).

Fellowship Details

• Duration: up to 24 months (or up to 36 months if part-time). Negotiable.

• Location: Faculty of Economics and Business Administration, Vilnius University, Lithuania.

• Salary: from 2,686 to 3,131 EUR/month (includes all taxes) depending on the working days per month (Full-time position, but part-time position could also be discussed).

• Resources: Access to VU infrastructure, in particular – from Faculty of Economics and Business Administration, such as computer classes, Bloomberg and other databases needed for the research.

• Approximate starting date: September 2026 or later (negotiable).

Requirements for Candidates

• PhD in economics, finance, econometrics, statistics, data science, informatics, engineering or a related discipline obtained within the last 5 years (before the start of post doc).

• The dissertation must have been defended outside Vilnius University.

• Research background in economic / fiscal policies, financial markets, big data analysis, artificial intelligence, econometrics or similar.

• Technical skills in working with NLP and other AI tools.

• Programming skills in relevant research software (R, Python or other).

• Proficiency in English (C1 level and above).

How to Apply

Application should be sent via email to Dr. Linas Jurkšas at linas.jurksas@evaf.vu.lt and must include:

1. Curriculum Vitae (CV).

2. List of the most important scientific publications.

3. Motivation letter or research proposal (a one-pager with ideas for your postdoctoral research).