Software Master Thesis Project
Software Master Thesis Project
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Job Description
Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences diagnostics and biotechnology
At Cytiva one of Danahers 15 operating companies our work saves livesand were all united by a shared commitment to innovate for tangible impact.
Youll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danahers system of continuous improvement you help turn ideas into impact innovating at the speed of life.
Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake lifesaving activities ranging from fundamental biological research to developing innovative vaccines new medicines and cell and gene therapies.
At Cytiva you will be able to continuously improve yourself and us working on challenges that truly matter with people that care for each other our customers and their patients. Take your next step to an altogether lifechanging career.
Learn about the Danaher Business System which makes everything possible.
Introduction
At Cytiva we design liquid chromatography systems for different needs at every scale in the life science industry. Liquid chromatography is about filtering a mixture of things into pure subcomponents. An example could be extracting a target protein for a drug from a mixture of many proteins. The filtration happens in a column (a pipe filled with a filtering substance called a resin): many things go in at once but come out separated in time. By using a sensor after the column (usually a UV sensor measuring transmittance in the liquid) one of these outputs from the column can be detected and collected. Runs are measured at a specific sample rate and are stored as equidistant data. For very long runs this exhaust computational resources during run. To address that it is very common to use data reduction to being able to continue running on the expense of a loss of measurement data.
Problem
There are many different approaches to represent measurement data as efficient as needed. In this thesis work you will investigate different techniques to handle efficient collection of measurements during run as well as storing data at rest in an efficient way. Modern techniques for floating point compression both lossless compression and lossy compression could be used. In the investigation it is important to make a tradeoff between efficiency with respect to memory consumption and computational performance as well as computational precision.
We are currently looking for a university student interested doing their Master Thesis project with us. You will be responsible for evaluating new algorithms to avoid or alleviate data reduction that can be used in UNICORN in the will receive the opportunity to use your numerical analysis knowledge as well as your software development skills.
This position reports to the Sr Manager UNICORN Application Software and is part of the Software/Firmware Engineering BP RnD Software Department located in Uppsala Sweden and will be an onsite role.
What youll do
Be introduced to the application area existing techniques relevant data structures and algorithms.
Receive access to test data.
Perform a literature study on how to design algorithms for specific use cases.
Review implementation of one or several techniques and compare and evaluate different techniques.
Who you are
Master student within Computational Science Engineering Physics Engineering Mathematics or similar.
Genuine interest in mathematics and programming.
Knowledgeable in numerical analysis particularly transform theory and approximation theory.
Good skills in an object oriented programming language preferably C#.
You communicate fluently in Swedish and English.
It would be a plus if you also possess
Eligible for master thesis project work
An analytical mindset attention to detail and confident work independently.
Selection and interviews will happened continuously. Dont hesitate to send in your application. Welcome!
Join our winning team today. Together well accelerate the reallife impact of tomorrows science and technology. We partner with customers across the globe to help them solve their most complex challenges architecting solutions that bring the power of science to life.
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At Danaher we value diversity and the existence of similarities and differences both visible and not found in our workforce workplace and throughout the markets we serve. Our associates customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
Employment Type
Full-Time
