Open Positions
PhD Position in Performance Engineering for Containerized System & Serverless Computing
PhD Position in Performance Engineering for Containerized System & Serverless Computing
I am seeking a highly motivated PhD student to contribute to research in containerized system optimization, serverless computing, and scientific computing acceleration.
Research Focus
The successful candidate will work on topics related to:
- Containerized system optimization & co-simulation – Developing and evaluating performance models for Kubernetes deployments, enhancing orchestration strategies, and leveraging co-simulation techniques for system analysis.
- Serverless computing optimization – Investigating the performance trade-offs of serverless architectures, optimizing cold start behavior, and improving resource allocation strategies in dynamic environments.
- Scientific computing acceleration – Addressing computational bottlenecks in cloud-based scientific workflows and optimizing the execution of complex simulations.
Your Profile
I am looking for candidates with:
- A Bachelor’s/Master’s degree (or equivalent) in Computer Science, Engineering, or a related field.
- Strong background in cloud computing, distributed systems, or performance engineering.
- Experience with container orchestration platforms (e.g., Kubernetes, Docker) and serverless computing frameworks.
- Proficiency in programming languages such as Python, Go, or C++.
- Familiarity with performance modeling, simulation frameworks, or time series analysis is a plus.
- Excellent communication and teamwork skills.
What We Offer
- A fully funded PhD position within an internationally recognized research environment.
- The opportunity to contribute to cutting-edge research in cloud and serverless computing.
- Collaboration with leading academic and industrial partners.
- Access to high-performance computing resources and cloud platforms.
- Support for conference travel and research dissemination.
Application Process
To apply, please send the following documents as a single PDF to abauer7@iit.edu:
- A cover letter explaining your motivation and research interests.
- A detailed CV, including relevant coursework and publications (if any).
- Contact information for at least two academic references.
- Copies of academic transcripts.
Review of applications will begin immediately and continue until the position is filled. For further inquiries, feel free to contact me.
PhD Position in Synthetic Data Generation & Data Security
PhD Position in Synthetic Data Generation & Data Security
I am seeking a highly motivated PhD student to contribute to research in synthetic data generation, time series analysis, and data security, with a particular focus on health data. The position is part of ongoing efforts to enhance privacy-preserving techniques and improve the usability of health-related datasets through advanced machine learning and cryptographic methods.
Research Focus
The successful candidate will work on topics related to:
- Synthetic data generation – Developing and evaluating models for generating realistic health data, including time series data, to support machine learning applications while preserving privacy.
- Time series analysis & synthesis – Designing methodologies for analyzing and synthesizing temporal health data for research and clinical applications.
- Data security & privacy – Exploring encryption techniques, differential privacy, and federated learning approaches for protecting sensitive health data in distributed environments.
- Federated learning – Investigating decentralized learning techniques to enable secure and privacy-aware machine learning on sensitive data.
Your Profile
I am looking for candidates with:
- A Bachelor’s/Master’s degree (or equivalent) in Computer Science, Engineering, or a related field.
- Strong background in data security, cryptography, or privacy-enhancing technologies.
- Experience with synthetic data generation, time series modeling, or machine learning for structured data.
- Proficiency in programming languages such as Python, R, or C++.
- Familiarity with healthcare data standards (e.g., HL7, FHIR) and regulatory frameworks (e.g., HIPAA, GDPR) is a plus.
- Excellent communication and teamwork skills.
What We Offer
- A fully funded PhD position within an internationally recognized research environment.
- The opportunity to contribute to cutting-edge research in cloud and serverless computing.
- Collaboration with leading academic and industrial partners.
- Access to real-world health data and secure computing infrastructure.
- Support for conference travel and research dissemination.
Application Process
To apply, please send the following documents as a single PDF to abauer7@iit.edu:
- A cover letter explaining your motivation and research interests.
- A detailed CV, including relevant coursework and publications (if any).
- Contact information for at least two academic references.
- Copies of academic transcripts.
Review of applications will begin immediately and continue until the position is filled. For further inquiries, feel free to contact me.