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Write your thesis with us Kick-start your career with us Join us for an internship or summer job
We offer several thesis projects annually. We announce our theses opportunities during September and we look forward to meeting you at the local Teses fairs in Linköping and Norrköping to tell you more. If you do not find anyting suitable for you but have an idea for a thesis, then you are welcome to contact us and tell us about your idea. Doing your thesis with us is not only developing and fun, but also an excellent way to get a permanent job at SICK Linköping.
At SICK Linköping we find internships and summer jobs to be an excellent way of connecting with talented students for future employment while getting qualified tasks done. We put time and effort in defining suitable assignments, and create excellent conditions for our interns and summer workers, to learn and have fun while working with us! If you are interested in sensor technology, image processing, and machine vision – keep your eyes on our career page during the beginning of the year when we announce our summer job opportunities! If you are looking for an internship, get in touch with us to share your interests. We have opportunities within several areas that might be just the right one for you.
Are you eager to practice what you have learnt and do you have some hours to spare on a weekly basis? Then there might be a suitable opportunity for you to join us for a part-time job. Especially if you have programming skills and share our passion for sensor technology, image processing, and machine vision. Get in touch with us to share your interests and talk about possible opportunities.
We are always looking for people and we want to know who you are! The first step is to apply!
In this thesis opportunity you will investigate and gain understanding of how an SVM/SVP type algorithm can be implemented in hybrid loss function.
In this thesis opportunity you will evaluate and compare NERFs to more traditional 3D reconstruction methods.
The task for this thesis is to research from a UX perspective the current solutions on offer, using reviews and user testing, see where they are alike or differ and quantify the results. And also to identify usability improvements and present them with a design, wireframe, or prototype.
Tile-based calibration is a compromise where the sensor is divided into smaller tiles and use a polynomial formula to do the calibration transformation for each tile individually. Investigate how to optimize the tile-based calibration to get the best results without using too much memory resources.
Can we find a way to improve todays 2,5D Edge matcher by combining the data and features from the 2D and 3D domain respectively? An opportunity for you with good skills and high interest in areas such as machine vision, 2D and 3D image processing, programming, algorithm development, mathematics.
Are you interested in FPGA programing in VHDL? Then this opportunity could be for you!
Investigate if it is possible to construct a general, theoretical system and prof-of-concept software implementation of it, to express relation graph between floating point parameters in such way that bidirectional numerical consistency is kept between parameters.
In this thesis opportunity you will investigate and gain understanding of possible error sources that affect hand-eye alignment and consequently object localization accuracy and preset your results in understandable way for a user to act on.
In the ever-evolving landscape of conversational AI, we are interested in what it can be used for in terms of improving usability. Since the inception of ChatGPT, we've witnessed remarkable advancements in language models. In this thesis, we're exploring the potential of smaller-scale models.
Do you want to be part of the new industry where smart vision and robotic solutions are becoming the key-factor for successful automated production? Then you might be our new Application Engineer to our Robot Guidance team!
You can always let us know who you are and what you are interested in!
Have a look at the films below for inspiration on topics for a thesis.
Handheld 3D Scanner
Narrow Pretraining of Deep Neural Networks
Deep Learning in 3D Point Clouds
Language Models for Configurable Systems
Photorealistic Simulations of Laser Triangulation System
Hyperspectral Cameras
Deep Learning from Teacher Sensors
We are the People and Culture team at SICK Linköping. We can answer all your question on recruitment, life at SICK Linköping, student opportunities and much more.
Charlotte Axelsson
charlotte.axelsson@sick.se
+46 739 2099 50
Fanny Eriksson
fanny.eriksson@sick.se
+46 70 590 66 18
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