Research Assistant/Associate (f/m/d) PhD Candidate in the field of Network or Spatial Econometrics

Weitere Informationen

The successful candidate will be employed under a regular employment contract.
The position is to be filled at the earliest possible date and offered for a fixed term 2 years.
Continued employment of at least 1 year is planned.
The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).
This is a part-time contract position.
The standard weekly hours will be 24 hours.
The successful candidate has the opportunity to pursue a doctoral degree in this position.
The salary is based on the German public service salary scale (TV-L).
The position corresponds to a pay grade of EG 13 TV-L.

Unser Profil

Within the framework of the newly established chair, a doctoral position (f/m/d) is to be filled. The research group of Prof. Dr. Kesina focuses on the development of innovative econometric estimation methods in microeconometrics. Particular emphasis is placed on network econometrics and spatial econometrics, which model various forms of interdependence, structural dependence, and spillover effects between observational units. The aim is to combine methodologically rigorous approaches with the analysis of practically relevant and socially significant research questions.
Empirical applications include fields such as international economics, energy economics, regional economics and firm behavior.

We Offer

• Participation in an innovative and developing research environment, with the opportunity to actively shape the emerging research group
• Access to an international network of leading researchers in econometrics
• Close supervision and support throughout the PhD process
• Opportunities to attend conferences, workshops, and summer schools
• Modern infrastructure and access to relevant software and data resources

Application

Please send your application, including the usual documents (cover letter, CV, academic transcripts), by email.
In your cover letter, please provide a brief outline of your research interests.
One letter of recommendation is required and should be sent directly by the referee to Ms. Ott.

Ihr Profil

• Excellent master’s degree in economics, econometrics, statistics, mathematics or a related field
• Strong background in econometrics and a keen interest in methodologically oriented research
• Experience with statistical software (e.g., Stata, R, Python, or Matlab)
• Excellent command of English, both written and spoken
• Very good command of German (minimum C1 level)
• Independent and analytically driven working style
• Prior teaching experience is an asset

Ihre Aufgaben

• Independent research as part of a PhD project in the field of network econometrics or spatial econometrics
• Development and empirical evaluation of econometric methods for modeling interdependencies
• Contribution to academic publications and presentations at international conferences
• Active involvement in teaching and supervision of students, including the supervision of bachelor’s and master’s theses and the delivery of tutorials and courses in both German and English

Über uns

RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket.
RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.
As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.
You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at http://www.rwth-aachen.de/dsgvo-information-bewerbung.

Besoldung / Entgelt

EG 13 TV-L