Postdoctoral Researcher: Multimodal AI Data Systems

ZHAW Zurich University of Applied Sciences

Winterthur

On-site

CHF 90,000 - 130,000

Full time

4 days ago
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Job summary

ZHAW Zurich University of Applied Sciences in Winterthur invites applications for a postdoctoral position focused on optimizing multimodal AI workflows across LLMs, vision models, and data analytics. Collaborating with IBM Research Europe – Zurich, you will design architectures and orchestrate tasks across CPUs, GPUs, and accelerators.

Responsibilities include developing multimodal AI pipelines, optimizing relational databases and Spark-based systems, building resource management, enabling

Qualifications

  • PhD in Computer Science, AI, Data Engineering, or related field.
  • Strong background in distributed systems (Spark) and relational databases (Postgres/DuckDB) and ML.
  • Solid Python programming skills.
  • Interest in publishing in leading systems and AI conferences (VLDB, SIGMOD, ICDE, etc).

Responsibilities

  • Develop architectures that support multimodal AI pipelines.
  • Investigate optimization techniques for AI pipelines across heterogeneous systems (relational databases and distributed data processing).
  • Build resource management and scheduling mechanisms for CPUs/GPUs/accelerators.
  • Enable efficient execution of AI workflows where multiple models interact dynamically.
  • Implement prototype systems and evaluate them on realistic AI/data workloads.
  • Assist in teaching (Databases and Intelligent Information Systems).

Skills

Distributed systems (Spark)
Relational databases (Postgres/DuckDB)
Machine learning
Python programming
Academic publishing (VLDB/SIGMOD/ICDE)

Education

PhD in Computer Science / AI / Data Engineering

Tools

Postgres
DuckDB
Spark

Job description

ZHAW Zurich University of Applied Sciences in Winterthur invites applications for a postdoctoral position focused on optimizing multimodal AI workflows across LLMs, vision models, and data analytics. Collaborating with IBM Research Europe – Zurich, you will design architectures and orchestrate tasks across CPUs, GPUs, and accelerators.

Responsibilities include developing multimodal AI pipelines, optimizing relational databases and Spark-based systems, building resource management, enabling

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