Bachelor/Master Thesis »Integrating and Optimizing Point Process Texture Basis Functions«

Fraunhofer; Kaiserslautern; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

Das Fraunhofer-Institut sucht einen Studierenden für eine Bachelor-/Masterarbeit im Bereich der Integration und Optimierung von Punktprozess-Texturbasisfunktionen. Die Arbeit beinhaltet die Implementierung von Algorithmen in 3D-Umgebungen und die Optimierung dieser Algorithmen. Sie erwartet ein kollaboratives Umfeld, flexible Arbeitszeiten und Unterstützung bei der Thesis-Vorbereitung.

Leistungen

Flexible Arbeitszeiten

Vielfältige Erfahrungen in der Forschung

Standort in der Nähe des RPTU Kampus

Qualifikationen

• Laufendes Studium in Informatik, Computer Grafik oder verwandten Bereichen.
• Profi in Python und/oder C++.
• Grundkenntnisse in Computer Grafik und prozeduraler Generierung.

Aufgaben

• Integration von PPTBF mit OSL in 3D-Umgebungen.
• Optimierung prozeduraler Algorithmen zur effizienten Verwaltung von strukturellen Elementen.
• Anwendung auf reale Szenarien wie Inspektionsplanung.

Kenntnisse

Python

C++

Computer Graphics

Prozedurale Generierungstechniken

OSL (Open Shading Language)

Englisch

Ausbildung

Laufendes Studium in Informatik oder verwandten Feldern

Jobbeschreibung

Bachelor/Master Thesis »Integrating and Optimizing Point Process Texture Basis Functions«, Kaiserslautern

Client:

Fraunhofer

Location:

Kaiserslautern, Germany

Job Category:

Research/Development

EU work permit required:

Yes

Job Reference:

c44220308758

Job Views:

4

Posted:

23.06.2023

Expiry Date:

07.08.2023

Job Description:

Our Image Processing department has been specializing in traditional and AI-based image processing for over 25 years. We develop industrial-grade inspection systems and solutions for recognition, classification, and characterization of images across various dimensions, wavelengths, and resolutions.

Background: In computer graphics, accurately modeling and controlling structural elements such as cracks, grains, and dot patterns is essential for creating realistic virtual environments. This project aims to enhance procedural generation by integrating Point Process Texture Basis Functions (PPTBF) with Open Shading Language (OSL).

What you will do:

1. Integrate PPTBF with OSL: Implement the PPTBF algorithm in 3D environments, including point process, feature function, and window function.
2. Optimize procedural algorithms to manage complex structural elements efficiently.
3. Apply the approach to real-world scenarios such as inspection planning.
4. Optional: Build a parameter-fitting database to accelerate PPTBF parameter fitting.

What you bring to the table:

1. Ongoing studies in Computer Science, Computer Graphics, or related fields at RPTU.
2. Proficiency in Python and/or C++.
3. Basic knowledge of computer graphics and procedural generation techniques.
4. Familiarity with shading languages like OSL is a plus, but not required.
5. Excellent command of English.

What you can expect:

1. Collaborative environment with opportunities to combine academic knowledge with practical experience at the interface of business and science.
2. Location within walking distance of the RPTU Kaiserslautern-Landau campus.
3. Flexible working hours for a good work-study balance.
4. Support in thesis preparation and integration into research projects.

We value diversity and welcome applications regardless of age, gender, nationality, ethnicity, religion, disability, sexual orientation, or identity. Severely disabled applicants are given preference if equally qualified.

Fraunhofer is dedicated to developing key future technologies and facilitating their transfer to industry, playing a vital role in innovation and scientific excellence.

Interested? Apply online now. We look forward to meeting you!

For questions about the application process, contact:

Fraunhofer Institute for Industrial Mathematics ITWM

Please note: If you are not a passport holder of the country where the vacancy is located, a work permit may be required. More information is available on our blog.

Applications should be submitted via the 'Apply now' button. Do not include bank or payment details in your application.