Description | (?)Type of Job |
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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
Supervisor:
Frank Roscher
Fraunhofer ENAS, Abt. Systems Packaging
Technologie-Campus 3
09126 Chemnitz
Tel.: 03 71 / 45 00 12 39
E-Mail: frank.roscher@enas.fraunhofer.de
Contact: Apply for this job by email Possible as: Student Assistance, Bachelor-Thesis, Master-Thesis Addressed topics: MEMS, Micro- and Nanoelectronics, Packaging | | | | | | | |
#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 at jan.langer@enas.fraunhofer.de.
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: 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 at jan.langer@enas.fraunhofer.de.
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: 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 at jan.langer@enas.fraunhofer.de.
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: Others | | | | | | | |
#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 at jan.langer@enas.fraunhofer.de.
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: 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 (jan.langer@enas.fraunhofer.de) 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: Others | | | | | | | |
#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
Kontakt: Dr. Christian Helke, 0371-45001-450, christian.helke@enas.fraunhofer.de 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 | | | | | | | |
#310 Wir suchen einen engagierten und motivierten Studenten / eine engagierte und motivierte Studentin, der/die sich für das Thema der chemischen Gasphasenabscheidung von Kupfer und Kupferoxiden in dünnen Schichten interessiert. Kupferoxide sind hydrophil und zeigen photoresistive, photokatalytische, halbleitende und memristive Eigenschaften, sodass sie für vielfältige Anwendungen wie beispielsweise in der Photovoltaik oder für die Herstellung von Speichern und Photodetektoren eingesetzt werden können. Die Arbeit beinhaltet die Durchführung von Prozessen zur Gasphasenabscheidung sowie der Charakterisierung der abgeschiedenen Schichten.
Aufgaben:
• Durchführung einer Literaturrecherche zum Thema und Zusammenfassung relevanter Erkenntnisse
• Entwicklung von chemischen Gasphasenabscheidungsprozessen für Kupfer-, Kupfer(I)- und Kupfer(II)oxidschichten
• Durchführung der Abscheideprozesse unter Parametervariation
• Charakterisierung der abgeschiedenen Schichten mittels geeigneter Messmethoden., bspw. Messung und Analyse der Schichtdicke und des Widerstands der abgeschiedenen Schichten
• Dokumentation und Auswertung der Messergebnisse
• Funktionsnachweis der Schichten an einem Demonstrator
Anforderungen:
• Studium an der Fakultät für Elektrotechnik und Informationstechnik, der Fakultät für Naturwissenschaften oder eines verwandten Fachbereichs.
• Grundkenntnisse in der chemischen Gasphasenabscheidung und der damit verbundenen Mess- und Charakterisierungstechniken sind von Vorteil.
• Zuverlässigkeit, Genauigkeit und ein hohes Maß an Verantwortungsbewusstsein.
• Fähigkeit zur eigenständigen Arbeit sowie zur Zusammenarbeit im Team.
• Gute Kenntnisse der englischen Sprache für die Literaturrecherche und das Verständnis von wissenschaftlichen Veröffentlichungen.
Wir bieten:
• Die Möglichkeit, praktische Erfahrungen in einem spannenden Forschungsfeld zu sammeln.
• Betreuung durch erfahrene Wissenschaftler und Experten auf dem Gebiet der chemischen Gasphasenabscheidung.
• Zugang zu modernen Laboratorien (Reinraum) und Geräten für die Durchführung der Experimente.
• Die Chance, eigene Ideen einzubringen und an der (Weiter)Entwicklung von Projekten mitzuwirken.
Falls Sie Interesse an dieser studentischen Arbeit haben und die genannten Anforderungen erfüllen, senden Sie uns bitte eine kurze persönliche Vorstellung mit Ausbildung, Qualifikationen und Ihrer Motivation. Bei weiteren Fragen stehen wir Ihnen gerne zur Verfügung. Wir freuen uns auf Ihre Bewerbung!
Bitte beachten Sie, dass diese Ausschreibung vorbehaltlich der Verfügbarkeit von Ressourcen ist.
Kontakt:
• Dr. Lysann Kaßner
Fraunhofer Institut für Elektronische Nanosysteme ENAS
Email: lysann.kassner@enas.fraunhofer.de
• Jörn Bankwitz
Fraunhofer Institut für Elektronische Nanosysteme ENAS
Email: joern.bankwitz@zfm.tu-chemnitz.de
Master- oder Diplomarbeit
Themen: Chemical vapor deposition (CVD), Dünnschichten, Kupfer und Kupferoxid, Charakterisierung
Contact: Apply for this job by email Possible as: Master-Thesis, Diploma Thesis Addressed topics: MEMS, Micro- and Nanoelectronics, Nano technology, Measurement / analytics, Processes / technology | | | | | | | |
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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:
1. Literaturrecherche
2. Methodische Entwicklungen am Gassensorteststand oder zur skriptbasierten Evaluation
3. Aufnahme und Evaluierung von systematischen Versuchsreihen zur Sensitivität der Sensoren
4. Regelmäßige wissenschaftliche Präsentationen des Projektfortschritts in Rahmen des Arbeitsgruppenseminars
Anforderungen:
1. Studium der Physik, Ingenieurwissenschaften (Mikro/Nanotechnologie), Chemie oder äquivalenter Studiengänge
2. Grundkenntnisse zu analytischen Charakterisierungsmethoden
3. Selbstständiger und unabhängiger Arbeitsstil
4. Sprachen: Deutsch, Englisch
Kontakt:
Simon Böttger
Group Carbon Nano Devices
Center for Microtechnologies
Email: simon.boettger@zfm.tu-chemnitz.de
Tel: 0371/531-32374
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 | | | | | | | |
#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.
Nils Dittmar
+49 371 45001 620
nils.dittmar@enas.fraunhofer.de
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 | | | | | | | |
#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
1. Literaturrecherche zum Thema
2. Vermessung bzw. Charakterisierung vor und nach den Ätzversuchen
3. Übertragung eines in der Literatur beschriebenen und geeigneten Ätzprozesses auf die Gegebenheiten am ZfM
4. Versuchsplan aufstellen
5. Durchführung der Ätzversuche
6. Untersuchung der Ätztiefen und -profile mit unterschiedlichen Meßmethoden z.B. Oberflächenprofilometrie, Fokusdifferenzmethode am Lichtmikroskop
7. 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
Kontakt: Dipl.-Ing. Küchler, (P169)
531 35836, 45001 487
matthias.kuechler@enas.fraunhofer.de
Contact: Apply for this job by email Possible as: Student research project Addressed topics: MEMS, Micro- and Nanoelectronics, Nano technology, Measurement / analytics, Processes / technology | | | | | | | |
#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
1. Literaturrecherche zum Thema
2. Vermessung bzw. Charakterisierung der Maskenschichten vor und nach den Ätzversuchen
3. Durchführung der Messungen am Ellipsometer und Profilometer
4. Untersuchung der Ätztiefen und -profile mit unterschiedlichen Meßmethoden z.B. Oberflächenprofilometrie,
Fokusdifferenzmethode am Lichtmikroskop
5. 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
Kontakt: Dipl.-Ing. Küchler, (P169)
531 35836, 45001 487
matthias.kuechler@enas.fraunhofer.de
Contact: Apply for this job by email Possible as: Student research project Addressed topics: MEMS, Micro- and Nanoelectronics, Nano technology, Processes / technology | | | | | | | |
#295 Al und Al-Legierungen werden sowohl in der MEMS als auch CMOS Fertigung für elektrische Kontakte, Leitbahnen und Bondpads eingesetzt. Dazu werden meist PVD-Schichten genutzt. Das Fraunhofer ENAS hat einen Prozess erarbeitet, um Al auch galvanisch auf Waferlevel abzuscheiden.
Die elektrochemische bzw. galvanische Abscheidung (ECD) von Al aus ionischen Liquiden (IL) stellt dabei Herausforderungen an die bisherigen Abscheidekonzepte. IL sind Salze mit einem Schmelzpunkt < 100 °C. Diese IL bieten aufgrund ihres breiten elektrochemischen Fensters die Möglichkeit zur Abscheidung von Metallen mit negativem Standardpotential, wie Al, Ti, Ta und Mg. Aufgrund des feuchtigkeitssensitiven Charakters der ILs wird in einer mit Stickstoff gefüllten Glovebox gearbeitet.
Im Rahmen der Arbeiten sollen Abscheide- und Prozessparameter für die galvanische Abscheidung von Al-Schichten über Topografien im Silizium (z.B. Through Silicon Vias) erarbeitet werden. Die Herausforderung liegt dabei in der konformen Abscheidung im Via. Dazu müssen PVD-Prozesse, Lithografie und Galvanik aufeinander abgestimmt werden.
Folgende Aufgaben werden auf Sie zukommen:
- Erarbeitung der Grundlagen der elektrochemischen Abscheidung/ionischen Flüssigkeiten als Fundament für die experimentellen Tätigkeiten (Literatur- und Patentrecherchen)
- Erstellung eines theoretischen Prozessplans zur Realisierung der Zielstellung inkl. Versuchsplan
- Erstellung von Prozessplänen für die Wafer-Präparation inkl. Sichtkontrollen
- Durchführung der galvanischen Abscheidung von Al auf 150-mm Wafer
- Charakterisierung der Schichten (Schichtdickenverteilung, Mikrostruktur, Rauheiten usw.)
- Ausführliche Auswertung und Dokumentation der Versuche
Voraussetzungen:
- Eigenständige und strukturierte Arbeitsweise
- Sorgfältigkeit und Zuverlässigkeit
- Ideal: Kenntnisse in der Elektrochemie und Halbleiterfertigung
Diese Arbeiten können in Form eines Research Projects und/oder Masterarbeit bzw. Diplomarbeiten durchgeführt werden.
Kontakt:
Silvia Braun
Fraunhofer ENAS
Abteilung System Packaging
0371/45001-277
silvia.braun@enas.fraunhofer.de
Contact: Apply for this job by email Possible as: Student research project, Master-Thesis, Diploma Thesis Addressed topics: MEMS, 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
1. Literaturrecherche zum Thema
2. Analyse vorhandener Software und vorhandener Vorarbeiten
3. Bewertung geeigneter Methoden
4. Implementierung
Voraussetzungen:
• Selbstständige, zielorientierte Arbeitsweise
• Spaß am Programmieren
• Kenntnisse in Python (Jupyter Notebook)
• Grundlagen KI-Methoden
task
1. Literature research on the topic
2. Analysis of existing software and existing preliminary work
3. Evaluation of suitable methods
4. 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
Ansprechpartner:
Reinhard Streiter
Tel: 0371 531 35842
E-Mail: reinhard.streiter@zfm.tu-chemnitz.de
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 | | | | | | | |
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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:
1. Literature review
2. CNT dispersion preparation
3. Processes and systematical parameter variations
4. Evaluation of measurement data
5. Regular scientific presentations of the progress in workgroup seminar
Requirements:
1. Study of microtechnology/microelectronics, physics, chemistry, mathematics or related fields
2. Basic knowledge about analytical characterization methods
3. Organized, result-oriented and self-motivated
4. 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 | | | | | | | |
#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 | | | | | | | |