BECOME A PART OF OUR RESEARCH CENTER

Join our team and let’s lead innovation in pharma, together!

Are you passionate about science? Do you think outside the box and want to make an impact early in your career?

Then we are a match!

Flexible working hours, flat hierarchies, exceptional infrastructure and facilities, excellent communication culture, internationality, good benefits and indivdiual opportunities for personal and professional growth are just a small foretaste of what to expect from us!

Furthermore, we support a gender-diverse and open working environment that embraces equal opportunities for women and men at every level. The fact that our gender quota is quite stable around 50:50 proves that, for us, these are not just words

PAID THESES

We offer students the chance to work on their bachelor / master / PhD thesis within the scope of our current research projects. Following topics are currently available:

Master theses:

• Adjoint state method for DEM (DA172)
• Development of multi-material structures for personalized pharmaceutical implants via 3D-printing (DA171)
• Development of a database + easy-to-use interface for pharmaceutical formulation and product development (DA170)
• Development of Control Concepts for a Continuous Pharmaceutical Manufacturing Line (DA169)
• Optimization of  a Continuous Manufacturing Line for Potent APIs (DA167)
• The Dynamics of a Jet Ejector (DA166)
• Computational Cleaning Validation (DA165)
• Modeling and Simulation of a Pharmaceutical Unit Operation for Control Purposes (DA164)
• Powder Simulation with Euler Granular Model and Discrete Element Method (DA163)
• Investigating the Applicability of various Printing Techniques for Pharmaceutical Applications (DA160)
• Next-Level Particle Simulations (DA154)
• Simulation of Particle-Fluid Interaction Using an Immersed Boundary Method: A Validation Study (GranSys-CG Project) (DA151)
• Modeling and Controller Synthesis Applied to Continuous Pharmaceutical Processes (DA150)
• Simulation of Wet Particles’ Collisions (GranSys-CG Project) (DA146)
• Evaluation of Spray Models in Coupled Simulations (DA141)
• Investigation of the Impact of Fluid Viscosity on the Flow Field and Mixing in Twin Screw Extruders (DA137)
• Machine Learning Methods for Optical Coherence Tomography (OCT) Image Segmentation (DA133)
• Signal Preprocessing in Pharmaceutical Optical Coherence Tomography (OCT) Applications (DA132)

INTERNSHIPS

Especially in the summer months, we offer internships for students and pupils who are interested in science and technology. The application period runs from December until February.

LEADING PHARMA INNOVATION