Description | (?)Type of Job |
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#322
Die Bedeutung von PICs in der
Zukunft der Halbleiterindustrie ist enorm. Sie sind entscheidend für die Weiterentwicklung
von Hochgeschwindigkeits-Datenübertragungsnetzwerken, die steigende
Anforderungen an Bandbreite und Latenzzeiten erfüllen müssen. Darüber Hinaus
ermöglichen PICs eine deutlich energieeffizientere Datenverarbeitung und
-Übertragung die in Zeiten steigenden Energiebedarfs notwendig sind. Photonisch
Integrierte Schaltkreise (PICs) spielen eine zentrale Rolle in der Entwicklung
von Quantencomputern, insbesondere bei der Realisierung von
Quantenkommunikationssystemen und -prozessoren. Sie werden in der
Medizintechnik für bildgebende Verfahren und analytische Anwendungen genutzt
und finden im Automotive-Sektor Anwendung in LiDAR-Systemen für autonome
Fahrzeuge. In der Consumer Electronics-Industrie verbessern sie die
Bildqualität und Effizienz von High-End-Kameras und Displays. Zu den grundlegenden Bauelementen von PICs gehören unter anderem Waveguides,
Grating Coupler und Ringresonatoren. Waveguides leiten Lichtsignale effizient
durch den Schaltkreis und sind entscheidend für die Minimierung von Verlusten
und die Maximierung der Übertragungsgeschwindigkeit. Grating Coupler
ermöglichen die Einkopplung von Licht aus externen Quellen in den PIC, was für
die Verbindung von optischen und elektronischen Systemen unerlässlich ist.
Ringresonatoren fungieren dabei als Filter oder Modulatoren und nehmen eine
zentrale Rolle bei der Steuerung und Verarbeitung von Lichtsignalen innerhalb
des PICs ein.
Das Ziel dieser Arbeit besteht in
der Umsetzung von PIC-Strukturen in einen makroskopischen Demonstrator. Dadurch
soll die Funktionsweise der einzelnen photonischen Effekte und Wechselwirkungen
sowie die einzelnen Komponenten verständlich visualisiert werden. Voraussetzung: - Literaturrecherche
- Aufarbeitung der Funktionsweise
verschiedener photonischer Effekte und Bauelementen - Konzeption, Entwicklung und methodische
Umsetzung eines Demonstrators - Kombination von theoretischer
Ausarbeitung mit praktischer Arbeit am Demonstrator - Regelmäßige wissenschaftliche
Präsentationen des Projektfortschritts
Anforderung: - Studium Physik, Ingenieurwissenschaften,
Elektrotechnik oder äquivalenter Studiengänge - Handwerkliche Begabung/Interesse
- Grundlegende Programmier- und
Elektronikfähigkeiten - Selbstständiger und unabhängiger
Arbeitsstil
Contact: Apply for this job by email Possible as: Student research project, Bachelor-Thesis, Master-Thesis Addressed topics: Micro- and Nanoelectronics, Nano technology, Optics, Design, Programming, Review of Literature | | | | | | | |
#313 Are you passionate about cutting-edge research at the intersection of healthcare, technology, and data science? Join us as a student in the exciting field of multi-energy X-ray imaging for more accurate diagnoses, improved treatment planning, and enhanced image quality across various applications in healthcare and beyond. This internship offers a unique opportunity to work on an innovative project that combines artificial intelligence (AI) with advanced medical imaging techniques. Qualifications: - Candidates with a strong understanding and practical experience with AI and Machine Learning algorithms are preferred.
- Excellent programming skills (preferably with Python) are required.
- A strong interest in interdisciplinary work at the intersection of medical engineering, physics, mathematics, and data science is essential.
We are currently seeking candidates for Master's theses, internships, and student assistant positions. Interested candidates should send their applications to Dr. Jan Langer.
Don't miss this opportunity to contribute to cutting-edge research in health care and technology! Apply now and be part of the Data-Based Methods team at Fraunhofer ENAS. Contact: Apply for this job by email Possible as: Student Assistance, Master-Thesis Addressed topics: Artificial Intelligence, Others | | | | | | | |
#314 Are you passionate about cutting-edge research at the intersection of hardware design and software programming? Join us as a student and help program heterogeneous compute platforms of the future, that incorporate FPGAs, GPUs and AI acceleration engines in the same device. These advanced platforms need new programming paradigms, software tools and languages to be utilized efficiently. In our group we strive to accelerate applications from medical engineering, machine learning and image processing on heterogeneous platforms. Qualifications: - Candidates with a strong understanding and practical experience in the principles of hardware design and/or GPU programming are preferred.
- Excellent programming skills are required.
- A strong interest in interdisciplinary work at the intersection of hardware design, mathematical methods and software development is essential.
We are currently seeking candidates for Master's theses, internships, and student assistant positions. Interested candidates should send their applications to Dr. Jan Langer. Don't miss this opportunity to contribute to cutting-edge research in the programmability of heterogeneous compute platforms! Apply now and be part of the Data-Based Methods team at Fraunhofer ENAS. Contact: Apply for this job by email Possible as: Student Assistance, Master-Thesis Addressed topics: Artificial Intelligence, Others | | | | | | | |
#315 Are you passionate about developing application-driven computer vision pipelines for semiconductor metrology? Join our team as a student and contribute to the development of computer vision models for analyzing measurements of metrology devices. Our mission is to enhance the efficiency of semiconductor manufacturing by automating image analysis, utilizing web-based user interfaces and simplifying report generation. Key Responsibilities: - Develop computer vision models for analyzing metrology measurements.
- Extract meaningful information from metrological data.
- Deploy your pipeline in web-based user interfaces.
Qualifications: - Strong understanding and practical experience in image processing methods or computer vision models.
- Excellent programming skills (preferably with Python) are required.
- Strong abstract and mathematical thinking skills.
- A strong interest in interdisciplinary work at the intersection of software development, data science, and semiconductor metrology is essential.
We are currently seeking candidates for Master's theses, internships, and student assistant positions. Please send your application to Dr. Jan Langer. Don't miss this opportunity to contribute to cutting-edge research in the programmability of heterogeneous compute platforms! Apply now and be part of the Data-Based Methods team at Fraunhofer ENAS. Contact: Apply for this job by email Possible as: Student Assistance, Master-Thesis Addressed topics: Artificial Intelligence, Others | | | | | | | |
#316 Are you passionate about cutting-edge research at the intersection of semiconductor technology and artificial intelligence?
Join us as a student in our team for artificial intelligence and data based methods at the Fraunhofer Institute of Electronic Nanosystems (ENAS).
We're on a mission to create digital twins for highly complex semiconductor manufacturing processes - enabling process optimization and model-based control. As the industry moves towards more individualized processes and products, a significant challenge is to enable accurate predictions with limited reference data. We, therefore, employ a broad range of artificial intelligence algorithms that enrich process data with sophisticated domain knowledge, as well as semi-supervised approaches to incorporate unlabeled data. Qualifications: - A strong understanding as well as practical experience with AI and Machine Learning algorithms.
- Excellent programming skills (preferably with Python).
- A strong interest in interdisciplinary work at the intersection of semiconductor technology, data science and artificial intelligence.
We are currently seeking candidates for Master's theses, internships, and student assistant positions.
Please send your application to Dr. Jan Langer. Don't miss this opportunity to contribute to cutting-edge research in the programmability of heterogeneous compute platforms! Apply now and be part of the Data-Based Methods team at Fraunhofer ENAS. Contact: Apply for this job by email Possible as: Student Assistance, Master-Thesis Addressed topics: Artificial Intelligence, Others | | | | | | | |
#312 The particular strength of the Fraunhofer Institute for Electronic Nano Systems ENAS lies in the development of smart systems - so-called intelligent systems for various applications. The systems combine electronic components, micro and nano sensors and actuators with interfaces for communication. Fraunhofer ENAS develops individual components, the technologies for their production as well as system concepts and system integration technologies and transfers them into practical use. Fraunhofer ENAS accompanies customer projects from the idea to thedesign, technology development or implementation using existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is on semiconductor manufacturing and medical technology.
Are you passionate about cutting-edge research at the intersection of healthcare, technology and data science?
Join our team in the Horizon Europe project "NOVO: Next Generation Imaging for Real-Time Dose Verification Enabling Adaptive Proton Therapy". Work in an international team of experts from different disciplines such as proton therapy, computer science, applied mathematics, detector physics and medical physics. We are currently looking for students for Master's theses, internships and student assistants. We can discuss our ideas together to find theright job for you. What you bring to the table? - You already have some practical experience with AI and machine learning algorithms? Then you've come to the right place.
- Excellent programming skills (preferably in Python) are required.
- A strong interest in interdisciplinary work at the intersection of medical engineering, physics, mathematics and data science is essential.
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnicand social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equalsuitability. Interested? Apply online now. We look forward to getting to know you! Dr. Jan Langer will be happy to answer any questions you may have about the position. Contact: Apply for this job by email Possible as: Student Assistance, Master-Thesis Addressed topics: Artificial Intelligence, Others | | | | | | | |
#299 Ziel der Arbeit ist, mit Plasmaätzverfahren Gruben mit vertikalen Wänden in einkristallinem Silizium zu ätzen. Im Sinne einer Verbesserung des Umwelt- und Klimaschutzes dürfen hierfür keine fluorkohlenstoffhaltigen Prozeßgase zum Einsatz kommen.
Eine Möglichkeit der Umsetzung dieser Aufgabe wurde von Nguyen u. a. gezeigt [1–4]. Aufgabenstellung - Literaturrecherche zum Thema
- Vermessung bzw. Charakterisierung vor und nach den Ätzversuchen
- Übertragung eines in der Literatur beschriebenen und geeigneten Ätzprozesses auf die Gegebenheiten am ZfM
- Versuchsplan aufstellen
- Durchführung der Ätzversuche
- Untersuchung der Ätztiefen und -profile mit unterschiedlichen Meßmethoden z.B. Oberflächenprofilometrie, Fokusdifferenzmethode am Lichtmikroskop
- Auswertung der Ergebnisse
[1] V. T. H. Nguyen et al. , “The CORE Sequence: A Nanoscale Fluorocarbon-Free Silicon Plasma Etch Process Based on SF6/O2 Cycles with Excellent 3D Profile Control at Room Temperature”, ECS Journal of Solid State Science and Technology , Bd. 9, H. 2, Art. 24002, Jan. 2020. [2] V. T. H. Nguyen, E. Shkondin, F. Jensen, J. Hübner, P. Leussink, and H. Jansen, “Ultrahigh aspect ratio etching of silicon in SF6-O2 plasma: The clear-oxidize-remove-etch (CORE) sequence and chromium mask”, Journal of Vacuum Science & Technology A , Bd. 38, H. 5, Art. 53002, Sep. 2020. [3] V. T. H. Nguyen, F. Jensen, J. Hübner, P. Leussink, and H. Jansen, “On the formation of black silicon in SF6-O2 plasma: The clear, oxidize, remove, and etch (CORE) sequence and black silicon on demand”, Journal of Vacuum Science & Technology A , Bd. 38, H. 4, Art. 43004, Jul. 2020. [4] V. T. H. Nguyen, “Directional Nanoscale Silicon Etching using SF6 and O2 Plasma,” Diss., Dänemarks Technische Universität, 2020. Art der Arbeit: Projektarbeit Contact: Apply for this job by email Possible as: Student research project Addressed topics: MEMS, Micro- and Nanoelectronics, Nano technology, Measurement / analytics, Processes / technology | | | | | | | |
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) #285 In recent years, pronounced trends like the Internet of Things or 5G has led to more and more connected and digitalized cyber-physical systems. This results in an increased demand on embedded dedicated hardware security. Hence, unclonable, unpredictable and tamper-evident hardware security primitives, such as Physical Unclonable Functions (PUFs), became more and more important. In this context, emerging nanotechnologies based on nanomaterials such as Carbon Nanotube got into focus due to technological compatibility to CMOS as well as promising security features.
In this research project, a systematic study on the wafer-level CNT integration process is planned targeting processes for appropriate level of property distribution in large arrays of CNT-FETs designed as a PUF element. By means of scanning electron microscopy, Raman spectroscopy, and electrical parameter analyzation as well as correlative data analysis, an extended view on the PUFs and processes should be elaborated. Tasks: - Literature review
- CNT dispersion preparation
- Processes and systematical parameter variations
- Evaluation of measurement data
- Regular scientific presentations of the progress in workgroup seminar
Requirements: - Study of microtechnology/microelectronics, physics, chemistry, mathematics or related fields
- Basic knowledge about analytical characterization methods
- Organized, result-oriented and self-motivated
- Very good understanding and reading language skills in German, English
Contact: Apply for this job by email Possible as: Student research project, Bachelor-Thesis, Master-Thesis, Diploma Thesis Addressed topics: Micro- and Nanoelectronics, Nano technology, Measurement / analytics, Processes / technology | | | | | | | |
#307 Im Rahmen dieser Arbeit sollen Trockenätzversuche an SiO2 und Si3N4 auf Waferlevel durchgeführt, Versuchsparameter hinsichtlich Selektivität variiert und die Ergebnisse ausgewertet werden.
Konkret soll eine Selektivität von mindestens 1:30 zwischen SiO2 und Si3N4 erreicht werden, indem das F/C-Verhältnis eingestellt wird. Praktisch wird dieses Verhältnis über den Gasfluss der Prozessgase (CHF3, CF4) bestimmt. Die Experimente werden an SiO2 und Si3N4 Schichten sowie SiO2/Si3N4 Stapeln auf Si-Wafern durchgeführt. Zu den Aufgaben zählen: - Literaturrecherche (Trockenätzen/RIE, F/C-Verhältnis, SiO2/SiN Ätzmechanismen, …)
- Versuchsplanung
- Versuchsdurchführung an der Ätzanlage
- Charakterisierung an Messgeräten (Mikroskop, Profilometer, REM, …)
- Auswertung und Präsentation der Ergebnisse
Die praktischen Versuche werden im Reinraum durchgeführt.
Literatur:
[1] Journal of Vacuum Science & Technology A 17, 26 (1999); https://doi.org/10.1116/1.582108 [2] J. Vac. Sci. Technol. A 38, 050803 (2020); https://doi.org/10.1116/6.0000395
Contact: Apply for this job by email Possible as: Student research project Addressed topics: MEMS, Nano technology, Measurement / analytics, Processes / technology, Review of Literature | | | | | | | |
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) #308 In den vergangenen Jahren ist unsere Elektronik Landschaft stark von Trends wie dem Internet der Dinge oder der Industrie 4.0 geprägt wurden. Inzwischen geht der Trend zu multifunktionalen Endgeräten, die neben Rechen- und Kommunikationsaufgaben auch sensorische Aufgaben zum Zwecke der Zustandsüberwachung übernehmen. Perspektivische Anwendungen zielen auf Point-of-Care-Diagnostik, Luft- und Lebensmittelüberwachung, oder der Analyse von krankheitsspezifischen Biomarkern in der ausgeatmeten Luft ab.
Niedrigdimensionale Nanomaterialien bieten aufgrund Ihres hohen Oberflächen-zu-Volumenverhältnisses die ideale Materialbasis für hoch-sensitive Gassensoren mit geringem Energieverbrauch, welche in diesem Kontext benötigt werden.
Das Ziel dieser Forschungsarbeit, besteht in der systematischen elektrischen Charakterisierung von Nanomaterialbasierten Gassensoren in Feldeffekttransistor-Konfiguration unter verschiedenen Gasen. Es sind methodische Entwicklungen, wie Skript-basierter Auswerteverfahren zur Extraktion der Sensitivität bei verschiedenen Prüfgaskonzentrationen zu tätigen und statistisch zu bewerten. Im Weiteren sind die Querempfindlichkeiten auf verschiedene Gase zu analysieren. Die Arbeit kann je nach Fortschritt auf die Implementierung von speziellen Funktionalisierungen erweitert werden. Die Untersuchungen werden dabei durch analytische Methoden wie etwa Rasterkraft-Mikroskopie, Raman-Spektroskopie, und elektrischer Feldeffekttransistor-Messungen unterstützt.
Hauptaufgaben:
- Literaturrecherche
- Methodische Entwicklungen am Gassensorteststand oder zur skriptbasierten Evaluation
- Aufnahme und Evaluierung von systematischen Versuchsreihen zur Sensitivität der Sensoren
- Regelmäßige wissenschaftliche Präsentationen des Projektfortschritts in Rahmen des Arbeitsgruppenseminars
Anforderungen:
- Studium der Physik, Ingenieurwissenschaften (Mikro/Nanotechnologie), Chemie oder äquivalenter Studiengänge
- Grundkenntnisse zu analytischen Charakterisierungsmethoden
- Selbstständiger und unabhängiger Arbeitsstil
- Sprachen: Deutsch, Englisch
Contact: Apply for this job by email Possible as: Student research project, Bachelor-Thesis, Master-Thesis Addressed topics: Micro- and Nanoelectronics, Nano technology, Measurement / analytics, Processes / technology | | | | | | | |
#311 Der technologische Fortschritt im Bereich der Halbleiterindustrie beruht im Wesentlichen auf der fortgesetzten Miniaturisierung von integrierten Schaltungen und Mikro-Elektro-Mechanischen-Systemen (MEMS). Eine der Schlüsseltechnologien, um diese Skalierung zu erreichen ist die lithographische Strukturierung von Substraten. Gängige kritische Dimensionen dieser Strukturen liegen heutzutage im Bereich zwischen 20-100nm. Um diese Höchstauflösung zu ermöglichen, sind besondere Anforderungen an das Lithographietool und den zu verwendenden Lack zu stellen.
Am Fraunhofer Institut ENAS steht mit dem Vistec SB254 ein hochmoderner Elektronenstrahlbelichter (Formstrahler) der neuesten Generation zur Verfügung, der SEMI-Standard Si Substrate der Größen 4“,6“ und 8“ belichten kann. Im Rahmen dieser studentischen Arbeit soll die wechselseitige Abhängigkeit zwischen Elektronenstrahlparametern und Lack Prozessparametern untersucht werden. Im Besonderen sollen die erzielten Lackprofile & Lackstrukturen im Rasterelektronenmikroskop (JEOL JSM7800 F) charakterisiert werden und für die nachfolgende Prozesstechnologie optimiert werden. Dabei soll ein neuartiges Lacksystem als Alternative zum HSQ-Lack, welches in Kooperation mit dem Lackhersteller Allresist GmbH entwickelt wird, untersucht werden:
Insbesondere der Negativlack weist chemische Eigenschaften auf, der ihn gleichermaßen sensitiv für die Belichtung im optischen Spektrum und mit Elektronen macht. In einem ersten Schritt werden die Homogenität und die Schichtdicke der Lacke über den Wafer statistisch erfasst. Anschließend werden Teststrukturen in den Lack belichtet und mit dem REM charakterisiert. Basierend auf diesen Ausgangswerten werden die Belichtungsparameter und Prozessparamter variiert. Die Aufgaben im Einzelnen: - Erstellung einer Untersuchungsserie (Variation der Lackdicke
- Spin-Kurven) auf 6“-Si Substraten mit dem zuvor genannten Lack (Oberflächenprofilometrie)
- Erstellung einer Testbelichtung mit Variation der Belichtungs- und Prozessparameter (Kontrastkurven)
- Auswertung einer Belichtungsserie (Variation der Elektronendosis/ Prozessparameter) belackter Wafer mit einem Testdesign und Bewertung der Lackprofile/Strukturen
Art der Arbeit: Bachelorarbeit, Projektarbeit, Masterarbeit Contact: Apply for this job by email Possible as: Student research project, Bachelor-Thesis, Master-Thesis Addressed topics: MEMS, Micro- and Nanoelectronics, Nano technology, Measurement / analytics, Processes / technology | | | | | | | |
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) #317 Topic:
Glass frit bonding plays a crucial role in microelectromechanical systems (MEMS) technology by providing excellent hermetic sealing, high process yield, and good reliability. It enables the encapsulation and sealing of MEMS components at the wafer or chip level, ensuring protection and enhancing device performance. The bonding process involves screen printing a glass paste, thermal conditioning, and thermo-compressive bonding, allowing for the incorporation of metallic lead-throughs and ensuring high bonding strength. Glass frit bonding techniques have been optimized to control the width and height of the bonding layer, improving bonding strength and reliability in MEMS packaging processes. Additionally, glass frit bonding facilitates the creation of vacuum packages for MEMS devices, enhancing resonant performance and quality factor by sealing vacuum inside the package. Modeling studies have shown that stress from the bonding process can impact sensor performance, highlighting the importance of precise bonding techniques in MEMS applications. ENAS is very experienced in the field of glass frit bonding and glass frit deposition using screen printing.
In this project, we would like to explore the capabilities of digital additive deposition technologies i) dispensing and ii) jetting for two different commercially available lead-free glass frit pastes. The advantage of the digital additive deposition is that they are mask free (only dxf. Is necessary to generate the tool path) and that they can be used when it comes to print on topographic surfaces. Work tasks: - Literature research on the state of the art, glass frit bonding
- Literature research on the state of the art, glass frit deposition using dispensing or jetting
- Layout and design using different software to generate tool paths
- Parameter studies using a Musashi dispensing tool to achieve reproducible printed voluminal (droplets or lines)
- Microscopy and characterization (i.e. 3D profil) of the printed samples
- Sample preparation (wafer and chips)
- Demonstration and Bonding tests on Wafer- or Chiplevel
- Bonding DOE`s and cross section preparation, SEM images
- summarizing the experimental results and metrological evaluation of the machined copper layers
- Preparation of a poster as well as the presentation and the defense of the thesis
Time: 3 months to 10 months, Lab time at least 1 or 2 days per week is estimated and should be spend as a minimum to perform the experiments Hiwi: additional HIWI position possible Contact: Apply for this job by email Possible as: Student Assistance, Bachelor-Thesis, Master-Thesis Addressed topics: MEMS, Micro- and Nanoelectronics, Packaging | | | | | | | |
#284 Die CarbonNanodevice Gruppe am ZfM/ Fraunhofer ENAS erforscht und entwickelt Kohlenstoff-basierende nano-elektronische Bauelemente für Elektronik und Sensoranwendungen. Es konnte bereits gezeigt werden, dass mit einer noch nicht optimierten Kohlenstoffnanoröhren-Technologie die Performance von State-of-the-art Silizium Hochfrequenz-Transistoren erreicht werden kann. Hierfür wird hochspezielles und einzigartiges Equipment verwendet, welches auf die Integration und Vermessung von Nanomaterialien in Bauelementen und Systemen ausgelegten ist. Im Rahmen einer Studentenarbeit soll die Leistungsfähigkeit solcher HF Transistoren weiter verbessert werden. Aufgaben: Durchführung und Untersuchung von verschiedenen nass- und trochenchemischen Reinigungsprozeduren von Kohlenstoffnanoröhren in Feldeffekttransistoren. Die Verschiedenen Reinigungverfahren werden hinsichtlich ihrer Effektivität durch XPS-Spektroskopie, Rasterkraftmikroskopie, Raman-Spektroskopie sowie durch elektrische Messungen der Transistoren charakterisiert. Speziell soll das Verfahren/ die Prozedur ermittelt werden, welche den Kontaktwiederstand zwischen Kohlenstoffnanoröhre und Metallelektrode minimiert. Voraussetzung: - Studium in den Fachrichtungen: Physik, Elektrotechnik und Informationstechnik, Mikrosysteme und Mikroelektronik, o.Ä.
- Laborerfahrung
- Erfahrung beim Datenauswerten
- Selbstständige und zuverlässige Arbeitsweise
- englische und deutsche Sprachkenntnisse
Contact: Apply for this job by email Possible as: Student research project, Bachelor-Thesis, Master-Thesis Addressed topics: Micro- and Nanoelectronics, Nano technology, Measurement / analytics, Processes / technology, Review of Literature | | | | | | | |
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) #291 Ähnlich wie der Mensch reagiert das Vieh (Rinder) mit auffälligen Augenbewegungen, wenn es sich gestresst fühlt.
Es ist wünschenswert, dass ein Tierarzt während der Behandlung, z.B. bei der Klauenpflege durch automatische Beobachtung dieser Augenbewegung mittels Videotechnik unterstützt wird. Durch geeignete Klassifizierung des Videostreams, evtl. auch eines solchen im infraroten Bereich, soll der Stresslevel bestimmt werden. Similar to humans, livestock (cattle) react with eye movements when they feel stressed.
It is desirable that a veterinarian is supported during the treatment, e.g. during hoof care, by automatically observing this eye movement using video technology. The stress level should be determined by suitable classification of the video stream, possibly also one in the infrared range.
https://www.uq.edu.au/news/article/2016/07/eyes-have-it-revealing-secrets-of-cow-emotions
Aufgabenstellung
- Literaturrecherche zum Thema
- Analyse vorhandener Software und vorhandener Vorarbeiten
- Bewertung geeigneter Methoden
- Implementierung
Voraussetzungen: - Selbstständige, zielorientierte Arbeitsweise
- Spaß am Programmieren
- Kenntnisse in Python (Jupyter Notebook)
- Grundlagen KI-Methoden
task
- Literature research on the topic
- Analysis of existing software and existing preliminary work
- Evaluation of suitable methods
- Implementation
Requirements: - Independent, goal-oriented way of working
- Enjoy programming
- Knowledge of Python (Jupyter Notebook)
- Basics of AI methods
Bitte senden sie Ihre Unterlagen mit aktuellem Notenspiegel an die untenstehenden Kontaktdaten. Start der Arbeit: ab sofort Art der Arbeit: Masterarbeit Arbeitsgebiet: Computer Vision Addressed topics: computer vision, Artificial Intelligence, Image Processing, Bild/Videoanalyse
Contact: Apply for this job by email Possible as: Master-Thesis Addressed topics: Others, Programming, Simulation | | | | | | | |
#298 Ziel der Arbeit ist, aluminiumbasierte Schichten zur Verwendung während des reaktiven Ionenätzens zu untersuchen. Wegen ihres geringeren Abtrags im Vergleich zu üblicherweise als Maskierung eingesetzten Stoffen wie Fotolack oder Siliziumdioxid werden längere und damit tiefere Ätzungen ermöglicht. Zum Einsatz können z. B. Schichten aus Aluminium, Aluminiumoxid, Aluminiumnitrid oder anderen Aluminiumverbindungen kommen. Die Untersuchungen sollen am Beispiel des tiefen Siliziumätzens (DRIE) erfolgen. Besonderes Augenmerk soll auf die Qualität des Ätzgrunds gerichtet werden. Zum Einstieg in die einschlägige Literatur kann [1-] herangezogen werden. Aufgabenstellung - Literaturrecherche zum Thema
- Vermessung bzw. Charakterisierung der Maskenschichten vor und nach den Ätzversuchen
- Durchführung der Messungen am Ellipsometer und Profilometer
- Untersuchung der Ätztiefen und -profile mit unterschiedlichen Meßmethoden z.B. Oberflächenprofilometrie,
Fokusdifferenzmethode am Lichtmikroskop - Auswertung der Ergebnisse, Vergleich der Maskenmaterialien
[1] A. Bagolini, P. Scauso, S. Sanguinetti, and P. Bellutti, “Silicon Deep Reactive Ion Etching with aluminum hard mask”, Materials Research Express, Bd. 6, H. 8, Art. 085913, Mai 2019. [2] M.Drost, S. Marschmeyer, M. Fraschke, O. Fursenko, F. Bärwolf, I. Costina, M. K. Mahadevaiah, M. Lisker, “Etch mechanism of an Al2O3 hard mask in the Bosch process”, Micro and Nano Engineering, Bd. 14, Art. 100102, April 2022 [3] M. D. Henry, T. R. Young, and B. Griffin, “ScAlN etch mask for highly selective silicon etching” , Journal of Vacuum Science & Technology B, Bd. 35, H. 5, Art. 052001, Sep. 2017. Art der Arbeit: Projektarbeit Contact: Apply for this job by email Possible as: Student research project Addressed topics: MEMS, Micro- and Nanoelectronics, Nano technology, Processes / technology | | | | | | | |