Thesis work, 30 credits - Modelling approaches for the monitoring of continuous direct compression of tablets

Are you passionate about making impactful contributions to the pharmaceutical industry through data science and engineering? We offer an exciting thesis opportunity to work on cutting-edge technologies in oral medicine production! 

About AstraZeneca: 

AstraZeneca is a global, science-led, patient-centred biopharmaceutical company focusing on discovering, developing, and commercialising prescription medicines for some of the world’s most serious diseases. But we’re more than a global leading pharmaceutical company. At AstraZeneca, we're dedicated to being a Great Place to Work and empowering employees to push the boundaries of science and fuel their entrepreneurial spirit.  

About the Opportunity: 

As a Thesis Worker at AstraZeneca, you’ll find an environment that’s full of unique opportunities and exciting challenges. Here, you’ll have the opportunity to pursue your areas of interest whilst equally developing a broad skillset and knowledge base to get the best out of your experience. You’ll be working on meaningful projects to make an impact and deliver real value for our patients and our business. 

Thesis work description:  

Join our innovative team to support the enhancement of monitoring capabilities on our continuous direct compression line for oral medicines. You'll be involved in data collection, pre-processing, and developing advanced modelling approaches. This project is crucial to our mission of implementing real-time control processes that ensure higher yields and consistent tablet quality. 

Key Objectives: 

• Develop and implement data collection and pre-processing techniques to enhance monitoring capabilities. 
• Design and verify advanced modelling approaches to optimize our production line. 
• Collaborate effectively in cross-functional teams to facilitate real-time monitoring and process control implementations. 
• Identify opportunities for monitoring and control applications increasing yield and ensuring consistent quality in final product.   

Structure: 

• Duration: Fall term 2025 
• Credits: 30 

Essential Requirements: 

• Enrolled in a Master's program focused on modelling and data handling (e.g., engineering, data science). 
• Strong communication skills and the ability to work effectively within a team and independently. 
• Enthusiastic about tackling complex challenges in pharmaceutical manufacturing. 

So, what’s next?  

Apply today and take the chance to be part of making a difference, making connections, and gaining the tools and experience to open doors and fulfil your potential. We can´t wait to hear from you!  

We welcome your application as soon as possible, but ahead of the scheduled closing date 30th of March 2025. In the event that we identify suitable candidates ahead of the scheduled closing date, we reserve the right to withdraw the vacancy earlier than published.  

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.