Postdoctoral Fellow, Multimodal AI Data Systems

ZHAW; Winterthur; On-site; CHF 90,000 - 120,000; Full time

Job summary

ZHAW in Winterthur invites applications for a Postdoctoral Researcher in Data Systems for Multimodal AI, in collaboration with IBM Research Europe - Zurich. The role focuses on optimizing data systems for multimodal AI workloads spanning SQL queries, ML workflows, and heterogeneous engines.

You will prototype architectures, evaluate performance across CPUs/GPUs/accelerators, publish in top conferences, and contribute to teaching in Databases and Intelligent Information Systems.

Qualifications

• PhD in Computer Science, AI, Data Engineering, or a related field.
• Strong background in distributed systems (e.g. Spark), relational databases (Postgres or DuckDB) and machine learning.

Responsibilities

• Develop architectures that support multimodal AI pipelines.
• Investigate optimization techniques for AI pipelines in heterogeneous systems.
• Build resource management and scheduling mechanisms for CPUs, GPUs and accelerators.
• Enable efficient execution of AI workflows with multiple models and tools.
• Implement prototype systems and evaluate them on realistic AI and data workloads.
• Assist in teaching Databases and Intelligent Information Systems.

Skills

Distributed systems

Relational databases

Machine learning

Spark

PostgreSQL

DuckDB

Education

PhD in Computer Science / AI / Data Engineering

Tools

Spark

PostgreSQL

DuckDB

Job description

ZHAW in Winterthur invites applications for a Postdoctoral Researcher in Data Systems for Multimodal AI, in collaboration with IBM Research Europe - Zurich. The role focuses on optimizing data systems for multimodal AI workloads spanning SQL queries, ML workflows, and heterogeneous engines.

You will prototype architectures, evaluate performance across CPUs/GPUs/accelerators, publish in top conferences, and contribute to teaching in Databases and Intelligent Information Systems.