Job Offers

Mitarbeiterin / Mitarbeiter in der IT (w/m/d)

Category

Job description

Sie übernehmen im Rahmen Ihrer Tätigkeiten folgende Aufgaben:

  • den Betrieb und die Wartung der PC-Infrastruktur  in den Computer Poolräumen
  • die Konfiguration der Clientsysteme nach internen IT-Sicherheitsvorgaben und die Dokumentation
  • Installation, Inbetriebnahme, von Studentenarbeitsplätzen in einer Poolraumumgebung
  • technische Vorbereitung von E-Klausuren
  • Durchführung begleitender Technik-Checks am Prüfungstag 
  • Dokumentation von Störungen und Maßnahmen

Personal qualification

Sie verfügen über:

  • eine abgeschlossene Ausbildung zum Fachinformatiker für Systemintegration (w/m/d) mit mehrjähriger Berufserfahrung
  • sehr gute Kenntnisse in der Skripterstellung, Powershell und in der Softwarepaketierung 
  • Erfahrung im IT-Support, in der Fehleranalyse und der Lösung von IT-Problemen sowie in der Netzwerk- und Softwareadministration

 

More details Apply

PhD position Untangling multi-property NMR signals in drug screening with data-driven neural networks
75% part-time

Category

Job description

Within the Collaborative Research Center (SFB) HyPERiON at KIT, an innovative PhD project is offered that focuses on resolving signal overlap in parallel NMR spectroscopy using artificial intelligence (AI). NMR spectroscopy is a key tool in drug discovery. However, in a parallel setup, signal couplings and overlaps occur that make it difficult to extract critical molecular information. The aim of the project is to develop AI models capable of generating individual, decoupled spectra from coupled NMR spectra.

Within the scope of the project, your responsibilities will include:

  • Developing a transformer-based neural network for the processing of NMR spectra
  • Creating datasets from existing experiments within the CRC and from your own experiments, which are to be carried out during a research stay at KIT’s Institute of Microstructure Technology (IMT)
  • Applying self-supervised pretraining based on masked sequence modeling and task-specific fine-tuning to the trained neural network
  • Analyzing the extent to which the developed model can learn the underlying physical principles of nuclear magnetic resonance

You will further be part of HyPERiON, participating in CRC activities and engage with the other PhD students and projects.

Key Focus Areas

  • Scalable deep learning methods for nuclear magnetic resonance
  • Self-supervised pre-training techniques and transfer learning approaches in Transformer-based architectures
  • GPU-based computing and high-performance computing (HPC)
  • Application of AI methods in a scientific context

Personal qualification

Job requirements:

  • M.Sc. in computer science, physics, mathematics or equivalent discipline
  • Very good programming and software development skills, preferably in Python
  • Prior experience with deep learning model development and training, or nuclear magnetic resonance methods

 

More details Apply