Your mission

Development of quantitative methods for the characterisation of formulations for RNA delivery using multi-detector field-flow fractionation and small angle X-ray scattering.

Your profile

• You have an excellent degree in natural sciences, ideally with links to separation science and light scattering technology for the characterization of biomolecules and nanoparticles
• You have a proven track record in scientific excellence, particularly demonstrated by the quality of your MSc thesis, conference presentations, or publications
• Very good oral and written proficiency in English
• You are interested in working in a multidisciplinary and international research environment
• Your are willing to undertake international travel for training and research activities within the CLIMB consortium
• You fulfil the specific eligibility criteria of the MSCA-Doctoral Network Programme
  • Doctoral Candidates must not yet been awarded a doctoral degree at the date of the recruitment.
  • Doctoral Candidates must have not resided or carried out main activity (work, studies, etc.) in the country of the host beneficiary for more than 12 months in the 3 years immediately prior to the recruitment date.
  • Doctoral Candidates must be able to understand and express themselves in both written and spoken English. Specific rules might exist for each individual position.
  • Note: Mobility rules apply to both physical residence and the institution where the activity was performed (e.g., remote studies).

Please apply with the following documents:

• Curriculum vitae
• Master [alternatively, the expected graduation date of Master's degree] and Bachelor diplomas
• Motivation letter stating your specific interest, motivation and qualifications for the project in question (max 1 A4 page)
• A research statement describing how your expertise and previous experience align with the PhD project objectives (200 words)
• The names of at least two reference persons (provide names and contact details) who can provide information on your research performance

Why us?

• Enrolment at the Johannes Gutenberg University, Mainz, Germany and close collaboration with the Department of Biopharmaceutics and Pharmaceutical Technology (Academic supervisor: Prof. Peter Langguth)
• Modern workplace equipment in a new company building in an easily accessible, central location in Landsberg am Lech
• A salary in line with the guidelines of the MSCA-DN Programme including a monthly living allowance (approx. 3400 EUR / month (employer's gross)), mobility allowance (approx. 600 EUR / month (employer's gross)), and, if applicable, family allowance, long-term leave allowance and special needs allowance (the exact amount may vary depending on specific circumstances)
• A team that looks forward to collaborating with you
• We appreciate your work and trust in you
• Individual training specifically tailored to your own needs and tasks
• Free coffee, extensive free parking
• Coming soon: charging stations for e-cars and e-bikes
• Spend your break in our modern, spacious cafeteria and terrace area
• Use our self-designed slide to quickly get from one floor to another
• Whether by train/bus/car or bike: We are well connected, with a bus station right in front of our main building
• Activities and events: We promote team spirit by giving our employees the opportunity to meet and exchange ideas outside of the work environment. Join in at company outings, summer parties, networking events and Christmas parties
• Dogs welcome: We have a dog policy. There is space for your four-legged friend in the office and outside

About us

Postnova Analytics is the leading supplier of analytical instrumentation for characterization of macromolecules, proteins and nanoparticles based on Field-Flow Fractionation and Light Scattering technologies. Headquartered in Germany, we have a worldwide distributor network and subsidiaries in USA and UK.