Are you looking for a thesis or are you interested in a part time job that complements your degree? Check the vacancies below and apply to the one that matches your skillset and interest! The following parti-time job vacancies only apply to current students of the University of Twente. Unfortunately, students from Saxion are not able to get a UT Flex job through the ET faculty, of which FEST is part of.

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Technical VacancieS

Development of an implementation path for establishing Digital Quality Gates in a Sawblade production line
Yes, I'm interested
Currently, the team is working on a Pilot Project in connection with implementing Digital Quality Gates at the company. This pilot project is connected with the Machine Connectivity activities that are already in progress. The candidate will need to investigate and develop an approach for introducing Digital Quality Gates for a specific process/machine.
The candidate will need to understand the Quality Assurance process and what parameters are needed so the quality department can have an automated approach for knowing which product units are good and which are rework. The candidate will need to also understand the currently used software for gathering data from the machine and develop an approach/program that can be used for filtering the right parameters from the gathered data for specific QA reports. The candidate will need to be in close contact with the Project Manager and Engineers from the Quality department. 
Required knowledge:
Industrial Management
Information Management
Computer Science (Combination between information technologies and production)
Research in suitable AI vision models for parcel picking applications
Yes, I'm interested!
Timeline: Approx. 6 months. Starting asap.

Type of work: Master Thesis

- Research into applicable vision deep-learning models for parcel picking. 
- Analysis of use-case and requirements through stakeholder involvement.

Necessary skills: 
- Vision-based machine learning background.
-  Python and/or C# programming.

Good to have: 
Interest in factory automation (i.e. industrial robotics and camera systems).

Brief explanation: This research would be on the topic of object detection and instance segmentation networks with the company AWL.
Yes, I'm interested!
Timeline: start as soon as possible
Type of work: MSc Thesis: The goal of the assignment is modelling and controlling a specific system given by the client IMS.

Location: IMS Almelo / Perron 038 Zwolle
Team: IMS Research & Development

Skills needed:
- 3D modelling
- Optimization + Machine Learning
- Systems Control

Brief explanation: Automotive lighting systems such as headlights and side-projectors are becoming more intelligent. For example, adaptive beam shaping and high definition have been made possible by technological advances regarding resolution, speed, definition, sharpness, contrast, colour of the illumination systems. This increasing complexity leads to new demands for both manufacturing and validation. Both internal product specifications and external regulations demand stringent and extensive functional analysis. Light projection quality analysis is one of the most important aspects therein. Projection quality (PQ) analysis system specifications include total analysis time, compactness, projection angles range, intensity range and resolution, near-field or far-field analysis. 
A supervisor from IMS will be attached to the project to provide experience with the setup and support with the thesis. A daily supervisor will also be provided by the Fraunhofer Project Center at the University of Twente to support the theoretical and technical aspects of the thesis. The master thesis will be part of the PRISMA project, a consortium project around Computer Vision applications, to which more information can be provided on request. 
Yes, I'm interested!
Timeline: start as soon as possible
Type of work: Part-Time 
Skills needed:
- Confident with C# in parallel coding and automation
- Basic knowledge of optimization solutions (optional)

Brief explanation: Looking for a creative and motivated student to assist in the development of an advanced algorithm through C#. The student will work with a team of engineers in the development of an automated solution.
Masters Graduation Project 
vision control, Pattern recognition, feature engineering and machine learning
Yes, I'm Interested!
Timeline: start in May 2020 (flexible), last for standard Master Thesis duration
Type of Work: Master Graduation Project 
Necessary skills: 
    -  Data analytics tools 
    -  Pattern recognition 
    -  Feature engineering   
    -  Computer Vision tools        
Good to have knowledge in: Machine learning, precision mechanisms and high-tech solutions, Deep Learning, Image filtering and analysis, Coding experience in Python or similar language   
Brief explanation: Thesis projects can start in May and will last the standard duration of a master thesis program. During that time, it can be required to have occasional visitations with companies and external expertise teams 
Student Assistant
Digital Tracking in Industrial Contexts
Yes, I'm Interested!
Timeline: start in May 2021 (flexible), last for standard Master Thesis duration
Type of Work: Master Graduation Project
The student will support in the research of object (person/equipment) tracking in manufacturing facilities to prevent collisions/injuries and support decision making for process improvement.
The minimum qualifications are a strong background in Computer Science, or a closely related discipline, by the time of appointment, along with evidence of interest in research. We particularly solicit applications from candidates with attitudes for collaborative research, whose background can support research into Real-Time Location Systems (RTLS). The successful candidate will be expected to support the development of a user interface, collaborate in expanding the use of RTLS, and support the coordination of research project deliverables.

Students should have demonstrable knowledge of both Python and Linux. The student must be available at least 3days/week to attend scheduled meetings, partnership calls and contribute to the research.

Submit your interest or contact Sebastian Thiede

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Non-Technical Vacancies

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External vacancies

MSc Internship SIM Center for Additive Manufacturing
Yes, I'm interested!
Timeline: Starting date February is an option. Preferable to start March/June, full time internship for at least three months, preferably five.
Type of work: Master thesies

Brief description: This Master thesis will be executed at Aeronamic as part of the 3D2SKY project. The goal of the 3D2SKY project is to print certifiable products for Aerospace applications with Laser-Powder Bed Fusion. Within the project, an EOS M290 machine and several other equipment around the printing process have been acquired and are available for experimentation purposes.

Furthermore, Simufact additive suite and Siemens NX are available for simulation purposes. As Aeronamic’s strategy is to have all design and manufacturing engineering capabilities contained in a single software environment, Aeronamic invested in Siemens NX AM CAM to expand the existing Siemens NX CAD/CAM infrastructure.

Additionally, Aeronamic is looking to integrate simulation of print jobs with Simcenter into the Siemens environment. Goal is to investigate Simcenter’s capabilities and to evaluate whether the software is fit for purpose and define gaps. Comparison with print jobs (to be) performed and/or existing simulations performed in Simufact may be part of the investigation.
The intended global structure of the project will be:
-  Understanding how the simulation works. Which assumptions are done (e.g. uniform temperature distribution vs. very high local temperatures in reality) that affect the accuracy.
- Select or design test geometries to evaluate residual stress, distortion and warpage
- Compare calculated distortion with measured distortion
- Predict recoater crashes
- Optionally compare Simcenter results with Simufact
- Evaluate algorithms within Simcenter which (iteratively) compensate geometry for distortion

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