Doctoral Candidate Horizon Europe MSCA Doctoral Network "CLIMB" - PhD Project 11

12 Feb 2025
Job Information

Organisation/Company

Postnova Analytics GmbH

Department

Research & Applications

Research Field

Chemistry » Analytical chemistry

Researcher Profile

First Stage Researcher (R1)

Positions

PhD Positions

Country

Germany

Application Deadline

31 May 2025 - 00:00 (Europe/Berlin)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

40

Offer Starting Date

1 Jun 2025

Is the job funded through the EU Research Framework Programme?

Horizon Europe - MSCA

Marie Curie Grant Agreement Number

101169269

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

CLIMB brings together leading research laboratories with expertise spanning chemistry, physics, biology, and computational sciences. The project focuses on studying the complex interplay between lipid composition, structural properties, and membrane-driven interactions, with the aim of developing advanced lipid-based materials for a variety of applications. Key research themes include:

• Understanding the role of lipid compositional complexity in membrane properties and functions.
• Developing lipid nanomaterials for use in mRNA delivery systems, bio-sensors, and sustainable formulations.
• Physicochemical characterization of aggregates formed by novel lipid mixtures, including natural extracts and polymer/peptoid coatings.

Doctoral Candidates will benefit from a rich, multidisciplinary training environment, with opportunities to collaborate with both small and large industrial partners, contributing to cutting-edge research with real-world applications.

PhD positions can be filled during 2025. Selected candidates will engage in multidisciplinary research, participate in international secondments across academic and industrial settings, and contribute to high-impact publications and conferences.

For more information on further open PhD positions within the CLIMB network:

12 PhD positions within the CLIMB Doctoral Network | EURAXESS

 

This job offer refers to PhD Project 11: 

Methods for determination of quality control size-related parameters in nanoparticle systems

Host: Postnova Analytics GmbH, Landsberg am Lech, Germany
PhD School: Department of Biopharmaceutics and Pharmaceutical Technology at Johannes Gutenberg University, Mainz, Germany
Supervisor: Florian MEIER
Academic supervisor: Peter LANGGUTH
Project focus: development of quantitative methods for the characterisation of formulations for RNA delivery using multi-detector field-flow fractionation and small angle X-ray scattering. 
Contact: florian.meier@postnova.com . 

Where to apply

Website

https://postnova.jobs.personio.de/job/1657557?language=de&display=en

Requirements

Research Field

Chemistry » Analytical chemistry

Education Level

Master Degree or equivalent

Skills/Qualifications

• 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

Specific Requirements

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

Languages

ENGLISH

Level

Good

Research Field

Chemistry » Analytical chemistryChemistry » Instrumental techniques

Additional Information
Benefits

• 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. 2500 EUR / month), mobility allowance (approx. 600 EUR / month), 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

Eligibility criteria

Specific Eligibility Criteria of MSCA-DN 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.

Selection process

Recruitment strategy: ensuring excellence and fairness

• The recruitment strategy for the CLIMB project aligns with the principles of transparency, fairness, and inclusivity

Recruitment Process Overview

• Recruitment of Early-Stage Researchers (DCs) will be conducted from M1 to M9, with completion targeted by M12

Fair and Inclusive Selection

• In line with the Code of Conduct for the Recruitment of Researchers, our recruitment process will be transparent, open, equal, and internationally recognized

Selection Criteria

• The selection criteria will encompass excellence, field of expertise, and motivation

Evaluation Process

• An assessment committee, consisting of the supervisor and co-supervisor(s), will identify the top five candidates, ranking them using a predefined point system (up to 75 points)
• Top candidates will be interviewed by at least two experienced academic/research staff members in person or via video-conference systems (up to 25 points)
• If required by local regulations, other staff members (e.g., PhD representatives, HR staff) may participate in the evaluation
• At least one representative from a CLIMB participating organization different from the host institution will be a part of the evaluation committee(s)

Transparent Decision-Making

• fter interviews, a ranked list for each DC position will be generated, considering the overall score (application score plus interview score, up to 100 points) achieved by the candidates
• The Steering Committee will review rankings to ensure academic merit and gender diversity

Candidate Feedback

• To maintain transparency, all candidates will receive individual updates at each phase of evaluation, including acknowledgment of receipt of their application, results of eligibility checks, invitations to interviews for top-ranked candidates, and final evaluations outlining strengths and weaknesses of their candidature

Website for additional job details

https://postnova.jobs.personio.de/job/1657557?language=de&display=en

Work Location(s)

Number of offers available

1

Company/Institute

Postnova Analytics GmbH

Country

Germany

City

Landsberg

Postal Code

86899

Street

Rankinestraße 1

Geofield

Contact

City

Landsberg

Website

https://www.postnova.com/

Street

Rankinestraße 1

Postal Code

86899

E-Mail

florian.meier@postnova.com

STATUS: EXPIRED

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