Open Positions

1

Time Span

01 Mar 2026 for 3 years

Application Deadline

31 Jan 2026

Financing

yes

Areas of study

Analytical Chemistry, Nanochemistry, Nanoanalysis, Nanosciences, Environmental Science, Physical Chemistry

Description

Natural nanoparticles are ubiquitous in aquatic environments and play an important role in the fate of pollutants. Given the growing concerns about emerging contaminants, particularly PFAS, it is crucial to understand and quantify their interactions with these particles to better predict their environmental behavior. In a project funded by the German Research Foundation (DFG), the sorption of PFAS and heavy metals onto natural nanoparticles will be investigated in situ using a dedicated field exposure method developed by our team, complemented by laboratory experiments and machine learning approaches. A central aspect of this project is the formation of a complex sorption layer—known as the eco-corona—on the nanoparticles and its influence on pollutant sorption. We are seeking to hire a PhD student (m/f/d) to conduct field and laboratory sorption experiments, determine PFAS concentrations, and characterize the sorption layer using TGA-MS.

Your requirements profile:

A successfully completed bachelor's AND master’s degree in chemistry with a focus on analytical or environmental chemistry from a university or comparable institution of higher education is required. Applicants must have a strong background in organic extraction, liquid chromatography, and mass spectrometry. Experience with analytical instrumentation (LC-MS and TGA-MS) and good knowledge of colloid chemistry are desirable. A goal-oriented working style, creativity, initiative, and a proactive attitude are essential. Very good English language skills are required. Willingness to participate in field experiments and possession of a Class B driver’s license are also required.

Please find more information about the position, the contact person and the link for applying here:

https://jobs.rptu.de/jobposting/7af5f9d7332293053b871c161a1922b934ccc90a0