Thesis work, 30 credits - Exploring the Adjoint State Method for Sensitivity Analysis in DEM Simulations

Are you interested in enhancing simulation techniques in the pharmaceutical industry? 

We are offering an exciting opportunity for a motivated and analytical student to undertake a thesis project focused on the application of the adjoint state method in discrete element method (DEM) simulations. DEM allows for the simulation of particle motion, commonly used in mixing powders before compacting them into tablets within the pharmaceutical manufacturing process. 

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:  

As DEM simulations can be time-consuming, especially when dealing with a large number of particles, understanding the sensitivity of solutions to varying parameters is crucial. This project aims to explore the adjoint state method, a technique that can efficiently compute both the solution and its sensitivities while minimizing computation time. 

Key Objectives: 

• Develop or Adapt Existing DEM Software: Create a simple simulation to explore the feasibility of the approach. Focus on maintaining simplicity in terms of the experiment, DEM model, and particle count. 
• Develop an Objective Function: Identify and define an objective function relevant to the simulations that you want to study for sensitivity to various parameters. 
• Validate the DEM Software and Adjoint State Method: Establish a validation process for the developed software and the application of the adjoint state method in this context. 
• Evaluate Method Efficacy: Assess whether the adjoint state method is effective for improving DEM simulations and sensitivity analysis. 

Structure: 

• Start date: Fall term 2025 (adapted after the course) 
• Scope: 30 hp/credits 

Essential Requirements: 

• Ongoing master’s studies within relevant field 
• Knowledge of ordinary differential equations (ODEs) and numerical solution of ODEs.  
• Knowledge of Newtonian mechanics. 

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 4th May 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.