Eintrag vom 08.10.2020
Angebotsnr. IPE 15-20

IPE 15-20 Masterthesis: Development of a novel Time-to-digital converter FPGA architecture using machine learning

Stelle ist zu besetzen ab: 01.01.1970

Beschreibung

Time-to-Digital converters (TDCs) are widely used in high-energy physics and other applications that require precise time measurements. Field programmable gate arrays (FPGAs) can be used to realize TDCs without any external circuits. Current TDCs are based on tapped delay lines (TDL). There are two major issues with the design of this delay lines in FPGA. Delay bins are not uniform and strongly dependant on temperature and voltage level. To compensate this effect and improve the time resolution the bin widths must be calibrated online. This thesis focusses on a novel TDC architecture where the digital electronics, employed for both decoding and on-line calibrations, is replaced by a machine learning algorithm, which extracts the digital information directly from the TDLs. The goal is to measure time-of-arrive and length of pulses with picosecond time resolution.

Persönliche Qualifikation

Your tasks: 

  • Study the current TDC architectures
  • Develop a novel TDC architecture with machine-learning with an ZYNQ US++
  • Train the neural network on the ZYNQ US++
  • Characterization with fast detectors

Your Skills:

  • Knowledge in Machine learning and Verilog/VHDL (basic)
  • Embedded and hardware programming (better but not required)
  • Previous experience with developing for a Xilinx Zynq SoC (better but not required)

Organisationseinheit

Institut für Prozessdatenverarbeitung und Elektronik (IPE)

Contract Duration

limited regarding study regulations

Contact person in line-management

Dr.-Ing. Michele Caselle (IPE) (0721 / 608 25903),

email: michele.caselle@kit.edu


Zur Bewerbung Zur offiziellen Anzeige

Art der Anzeige
  • befristete Anstellung
Gesuchter Karrierestatus
  • Berufserfahrene/r > 2 Jahre
Arbeitsregion
  • Karlsruhe und Umgebung
Unternehmensbereich
  • Sonstige Bereiche
Sprache am Arbeitsplatz
  • Deutsch
Art des Unternehmens
  • Wissenschaftliche Einrichtung

Ansprechperson

Frau Ann-Kathrin Schaber
Personalentwicklung und Berufliche Ausbildung (PEBA) - Abteilung Berufliche Ausbildung
Deutschland
E-Mail: Melden Sie sich bitte an,
um die E-Mail Adresse lesen zu können
Anschrift

KIT

Personalentwicklung und Berufliche Ausbildung (PEBA) - Abteilung Berufliche Ausbildung





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