Öffentlicher Dienst: PhD in digital accelerator design for deep learning and neuromorphic computing in Dresden, Sachsen von Fraunhofer gesucht

Öffentlicher Dienst: PhD in Digital Accelerator Design für Deep Learning und Neuromorphe Computer in Dresden

Everyone is talking about artificial intelligence. But who is developing the necessary chips? Wir, das Fraunhofer-Institut für photonische Mikrosysteme IPMS in Dresden, sind aktiv an der Entwicklung dieser Technologien beteiligt. Möchtest du die evolutionäre Entwicklung einer hochgradig effizienten KI-Hardwareplattform als Doktorand vorantreiben? In Zusammenarbeit mit führenden Wissenschaftlern und Industriepartnern arbeiten wir an analogen Beschleunigern, die neuartige, nicht-flüchtige Speicherchips nutzen.

Im Kern unseres Projekts stehen ferroelectric memories, die es ermöglichen, AI-Algorithmen im Bereich des Deep Learning schnell und mit extrem niedriger Energie zu berechnen. Diese Technologien zielen darauf ab, Kosten und Flächenbedarf zu minimieren sowie Energieeffizienz und Geschwindigkeit zu maximieren.

Darüber hinaus konzentrieren wir uns auf innovative Speicherlösungen in fortschrittlichen CMOS-Technologien. Unsere Expertise erstreckt sich über die Entwicklung von integrierten Schaltungen, die lokal intelligente, vernetzte Geräte ermöglichen. In einem dynamischen Umfeld stärken wir unsere Kompetenzen in den Bereichen Embedded Machine Learning, neuromorphe Hardware und Deep Learning-Beschleuniger.

Was du tun wirst:

Du bist verantwortlich für das RTL-Design (VHDL, Verilog) von digitalen Blöcken und deren Systemintegration.
Entwicklung der Designarchitektur sowie Zerlegung der Anforderungen in funktionale Blöcke.
Erstellung und Ausführung von Testbänken für RTL- und Timing-Simulationen.
Dokumentation des Designs gemäß internen und externen Normen.

Was du mitbringst:

Abgeschlossenes wissenschaftliches Studium im Bereich Elektrotechnik oder verwandten Disziplinen.
Erfahrung im RTL to GDS Flow und Kenntnisse in Synthetisierungs- und physikalischen Design-Werkzeugen.
Stark ausgeprägte Problemlösungsfähigkeiten und Anpassungsfähigkeit an neue technische Herausforderungen.

Was wir bieten:

Wir erwarten von dir, dass du aktiv zur Forschung und zu Publikationen in renommierten Fachzeitschriften beiträgst. Darüber hinaus fördern wir deine persönliche und berufliche Entwicklung durch ein umfangreiches Netzwerk und zahlreiche Seminarangebote.

Mit einem Schwerpunkt auf Teamarbeit und Work-Life-Balance bieten wir flexible Arbeitszeitmodelle und die Option auf Homeoffice. Du wirst Teil eines kreativen und innovativen Umfelds, das Vielfalt schätzt und jeden willkommen heißt.

Klingt das interessant für dich? Bewirb dich online, wir freuen uns darauf, dich kennenzulernen!

Kontakt:
Frau Isabell Zwinscher
Personalabteilung
Tel: +49 (0)351 8823 1227
Herr Dr. Thomas Kämpfe
Fachbereich
Tel: +49 (0)351 2607 3215

Zur kompletten Jobbeschreibung … *

Jobtitel

PhD in digital accelerator design for deep learning and neuromorphic computing

Unternehmen

Fraunhofer

Vollständige Stellenbeschreibung

Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example!Would you like to help drive the development of a new highly efficient AI hardware platform as a doctoral student? At , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile memory chips! By merging logic and memory elements, costs and the required wafer area can be minimized and, above all, energy efficiency and speed can be maximized. Specifically, in this project we are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed.Furthermore, we investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their implemented sensors locally intelligent. Together with the existing diverse activities in the field of sensor platform development, the institute is currently strengthening its expertise in the areas of embedded machine learning, neuromorphic hardware and deep learning accelerators.Want to get more information? ClickWhat you will do

Responsible for RTL design (VHDL, Verilog) of digital blocks and their system-level integration
Develop design architecture and break down requirements into functional blocks
Create and execute test benches for RTL and timing simulations
Create design documentation in compliance with internal and external normative standards
Write research papers for journals and conferences

What you bring to the table

Completed scientific university studies in the field of electrical engineering, electronics, communication engineering, information technology or comparable with a master’s or diploma degree
Hands-on experience in RTL to GDS flow
Knowledge in synthesis and physical design tools such as design compiler and Cadence Innovus will be advance
Expertise in at least one area as a plus:

deep learning (CNN or SNN)
hardware development
edge AI
memory technology
Strong problem-solving and analytical skills with the ability to lead complex design efforts
Quick to adapt to new technical and scientific contexts
Highly motivated and having a clear focus on producing high-quality scientific publications in peer-reviewed journals and presenting at international conferences
Good written and spoken English skills as a basis for working in an international team

What you can expectWe offer you an exciting and topical doctoral thesis in which you will benefit from our experienced doctoral supervision. In addition, we clearly focus on your personal and professional development. As part of our doctoral college, you can quickly network with other doctoral students and receive good tools for your doctorate through seminars and lectures. This gives you the opportunity to advance your personal career in applied research and start a career as a postdoc at our institute.Additionally, we offer female scientists the opportunity to participate in our program: a comprehensive career and development program that includes individually tailored qualification offers. You can find out more here.We are convinced that appreciation and trust are the basis for satisfaction and motivation. We create a work-life-balance through flexible working time models and the possibility of mobile working, because creative and innovative ideas can arise anywhere. We also attach great importance to intensive induction training and an open and collegial working environment. Whether sports, music or team events – we offer a wide range of opportunities to pursue our own passions together and strengthen our team spirit.The weekly working time is 39 hours. This position is also available on a part-time basis. The position is initially limited to 3 years. Employment as a postdoc is desired.
We value and promote the diversity of our employees‘ skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance-based variable remuneration components.With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.Interested? Apply online now. We look forward to getting to know you!ContactMs. Isabell Zwinscher
Human ResourcesTelephone: +49 (0)351 8823 1227Mr. Dr. Thomas Kämpfe
Specialty DepartmentTelephone: +49 (0)351 2607 3215Fraunhofer Institute for Photonic Microsystems IPMSRequisition Number: 81587