Postdoc Position: Efficient foundation model inference across the computing continuum (re-adver[...]

Aarhus Universitet; Favrskov Kommune; On-site; DKK 50,000 - 65,000; Full time

Benefits offered by this job

Access to state-of-the-art facilities

Strong support for career development

Family-friendly policies

Job summary

Aarhus Universitet is seeking a motivated candidate for a postdoctoral position in deep learning research at their Department of Electrical and Computer Engineering. The position focuses on efficient model inference across computing environments, offering a full-time contract with opportunities for extension.

Ideal candidates will have a Ph.D. and strong experience in deep learning, programming, and distributed systems. The role comes with a commitment to diversity and supportive workplace culture, along with access to modern facilities.

Qualifications

• Ph.D. in relevant field required.
• Strong foundation in Deep Learning concepts needed.
• Proficiency in Python and deep learning frameworks expected.

Responsibilities

• Contribute to research on token compression and adaptive pruning.
• Develop distributed collaborative inference strategies.
• Optimize latency and resources for inference.

Skills

Deep Learning

Python programming

Distributed systems

Edge AI

Publication record

Education

Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or related field

Tools

PyTorch

Job description

Institut for Elektro- og Computerteknologi - Communication, Control and Automation - Fakultet: Technical Sciences

Postdoc Position: Efficient foundation model inference across the computing continuum (re-advertisement)

Institut for Elektro- og Computerteknologi - Communication, Control and Automation, Helsingforsgade 10, 8200 Aarhus N

We are seeking highly motivated and talented applicants for a 1-year postdoctoral position (with the possibility of 1-2 year extension) in the area of efficient foundation model inference.

Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum — from Cloud to Edge. Our research aims to enable scalable, low-latency, and resource-aware deployment of large foundation models.

Expected start date and duration of employment

This is a full-time, fixed-term position for one year, starting on November 1, 2026, or as soon as possible thereafter.

Responsibilities

The successful candidate will contribute to cutting-edge research on topics including:

• Token compression and adaptive token pruning
• Distributed and collaborative inference strategies
• Mixture-of-Experts (MoE) architectures for scalable inference
• Resource-aware and latency-constrained inference optimization
• Edge intelligence and on-device foundation model deployment

You will work in a dynamic and collaborative research environment, with opportunities to publish in top-tier venues and collaborate with leading academic and industry partners within the Horizion Europe Project.

Qualifications

We are looking for a highly motivated and talented candidate with a background in deep learning. The required qualifications include:

• Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or a related field
• Strong background in Deep Learning (e.g., Transformers, foundation models)
• Strong programming skills in Python and experience with deep learning frameworks (e.g., PyTorch)
• Experience with distributed systems and edge AI
• Strong publication record in reputable conferences or journals relative to career stage
• Excellent written and spoken English communication skills

The following qualifications will be considered as an advantage:

• Experience in working with stream data
• Experience in working with Goal-oriented Communications
• Experience with collaborative, cross-cultural research environments

What we offer

We offer a vibrant and inclusive research environment with a clear commitment to real-world impact. Denmark is consistently ranked among the best countries in the world for work-life balance and quality of life. Family-friendly policies include generous parental leave, subsidised childcare, and access to excellent public healthcare and education. As a postdoc at Aarhus University, you will benefit from a supportive and flexible workplace culture that values diversity and offers excellent conditions for researchers and their families.

Specifically, we offer:

• Access to state-of-the-art facilities and computing infrastructure
• Strong support for research career development, including mentoring and international networking opportunities
• A commitment to diversity, equity, and inclusion in all aspects of our work
• A workplace characterised by professionalism, equality and a healthy work-life balance

Place of work and area of employment

The place of work is Helsingforsgade 10, 8200 Aarhus N, and the area of employment is Aarhus University with related departments.

Contact information

For further information, please contact: Professor Qi Zhang, [phone], [e-mail].

Deadline

Applications must be submitted by 30 August 2026.

We view equality and diversity as assets, and we welcome all applicants.

Postdoc at Aarhus University will be appointed in accordance with the Danish legal policies and collective agreements. Salary depends on seniority as agreed between the Danish Ministry of Taxation and the Confederation of Professional Associations.