12 October, 2022

Master Thesis

Data Analytics and Machine Learning


Quintus Technologies is the global leader in high pressure technology. The company designs, manufactures, installs, and supports high pressure systems in three main areas: densification of advanced materials, sheet metal forming and high-pressure processing for food and beverage innovation, safety, and shelf life. Quintus has delivered over 1,900 systems to customers within industries from energy, medical implants, space, aerospace, automotive and food processing. The company is headquartered in Västerås, Sweden, with a presence in 45 countries worldwide.


Our products are built on a history of industry leadership dating back to the early 1960s when we developed the first commercial Hot Isostatic Press (HIP). Today, Quintus’s technological innovations have expanded HIP-processing parameters to encompass greater pressures, higher temperatures, with unmatched control, and growing capacities. We develop products from research and small-volume HIP-presses to the world’s largest HIP production systems.

Range of different HIP systems manufactured by Quintus

Hot Isostatic Presses employ pressurized heated gas for consolidation, densification, or bonding of high-performance components and materials. Processed parts can achieve 100% of maximum theoretical density, resulting in exceptional resistance to fatigue, impact, wear and abrasion. The products from the presses are used in a wide range of industries, with applications ranging from plane bodies, aviation engines, car engines, human-body implants, to critical components used in oil and gas. To obtain superior and reliable material properties the HIP operates under extreme conditions with pressures reaching up to 3100 bar and temperatures of 3000°C. The combination of such extreme conditions and vessel sizes reaching more than 2 meters in diameter and more than 4 meters in height results in massive amounts of stored energy. In fact, at these temperatures and pressures the ideal gas law no longer applies!

Quintus is now releasing a new product line of presses: HPP for the food processing industry. Those presses will be the first generation of Smart Presses from the company which means that they will be IoT devices connected to the Cloud.

Task description

We are collecting enormous amounts of sensor data during operation of the presses and are storing those values in time-series databases. Additional information such as the cycle, batch, recipe, alarms etcetera is also stored. We are currently doing rule-based condition-based maintenance warnings but envision that Artificial Intelligence/Machine Learning will be an even more powerful tool to predict when failures will occur and thereby give the customers the correct advice.

The task is to analyze and use the real-world data gotten from production to develop and train machine learning models to detect upcoming failures in the HPP presses, and then to evaluate the results in a real-world environment and compare with a rule-based approach.

The thesis will give a clear view of how accurate a machine learning solution can be and how to best develop and train the model. At your disposal, you will have the gathered data in our databases, the enormous resources in the cloud and the expertise and press knowledge within Quintus.

Suitable background

Master of Science program in Computer Science or similar

Application Information

The thesis will take place at Quintus office in Västerås during spring 2023 and is aimed for one person. The selection will be ongoing so therefore apply as soon as possible. Send your CV together with grades to Stina Sjögren.

Contact person Quintus Technologies

Stina Sjögren, HR Business Partner, stina.sjogren@quintusteam.com