position as Research Associate (m/f/d) available

At the "Friedrich List" Faculty of Transport and Traffic Sciences, Institute of Transport Planning and Road Traffic, the Chair of Transport Ecology offers a position as

Research Associate (m/f/x)
in the work field “Clean Traffic, especially Analysis of Vehicle Emissions”
(subject to personal qualification, employees are remunerated according to salary group E 13 TV-L)

starting November 1, 2026. The position is limited until March 31,2029 with the option of extension and prolongation. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position comprises 80% of the full-time weekly hours and offers the chance to obtain further academic qualification.

Tasks:
Our working group has built a unique database that contains Europe-wide remote emission sensing measurements from the past decades. You will continuously develop this database, integrate new field and laboratory measurements (remote sensing, plume chasing, PEMS, etc.) and evaluate them with advanced analytical and statistical methods. Multivariate analyses and machine learning approaches are particularly desired. You will cooperate with emission experts across Europe, be responsible for corresponding third-party funded projects, and ideally lead the research group composed of several researchers.
Your expertise will be incorporated into teaching, especially through supervising lectures, seminars and student projects (according to HSDAVO). You will publish your results at international conferences and in peer‑reviewed journals. You will also take part in acquiring and managing further projects to expand the research field with the possibility of increasing your working hours.
 

Voraussetzungen:

• at least a good university degree in transportation or industrial engineering, environmental engineering, physics, data science, computer science or related fields
• proven experience in analyzing large datasets, e.g., with multivariate statistics or machine learning
• experience with relational databases, e.g., PostgreSQL
• knowledge of Linux, Git􀀁Bash and virtual machine configuration
• independence and initiative, combined with openness to discussion and feedback
• English and German language skills – one at C1 level, the other at least B1

A relevant PhD, documented experience in project leadership and in obtaining external funding are advantageous.

Please apply by October 14, 2026, preferably via TU Dresden’s SecureMail portal, with a single PDF document sent to .

Please note the detailed application requirements in the full job posting.

We look forward to receiving your application!