项目介绍

2026年2月26日

The Centre for Software Technology (CST), part of Maersk McKinney Moller Institute in the Faculty of Engineering at the University of Southern Denmark (SDU), invites applications for a 3-year PhD position. The position is open from May1 2026 or as soon as possible thereafter, and the specific start date will be agreed with the successful candidate.

What we offer:

The Centre values teamwork, professional diligence, enthusiasm for technology and the drive to adopt new skills and extended responsibilities. We offer an open, international team with flexible work organization and support of individual development. The group is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems from real applications and implement novel software and solutions together with end users.

We are looking for a candidate for the following PhD project:

PhD Position in Sustainable AI for the Environment Promoting a Green Transition  

What we expect:

The applicant should have completed a Master’s degree (MS / MSc / MTech / ME etc.) in Software Engineering, Information Technology, Computer Science, Artificial Intelligence, Data Science, Robotics or any other relevant field, prior to receiving admission into this PhD program, i.e., we accept applications from candidates expecting to finalize their studies within the upcoming months.

Please scroll down to read more about the expectations, in terms of PhD candidate responsibilities, qualifications, required skills (mandatory), and additional skills (preferred), with respect to the PhD position.

Workplace description:                                                                                                            

The Centre for Software Technology (CST) at SDU is a part of the new campus, SDU Vejle, home of excellence within information technology. The academic focus of the SDU Centre for Software Technology is to conduct research in interactive information technology and software engineering. The areas will be complementing each other to make way for the engineering of the next generation of reliable, intelligent and interactive software solutions. This includes understanding how AI technologies and data-informed software development with a human-centred perspective can change the engineering of products and software infrastructures.

Further Information: Please visit our website for more details; and feel free to reach out to the contact persons by email in case you have any more questions. 

Project Description – PhD Position in Sustainable AI for the Environment Promoting a Green Transition 

In recent years, there is a need for studying and using sustainable AI methods to head towards a green transition. This is particularly important for environmental initiatives to achieve the targeted 2050 climate neutral goals of the EU as well as the United Nations Sustainable Development Goals (UN SDGs). These initiatives are in line with Denmark’s ambitious 2045 climate neutrality target as well. Promising research directions in the initiatives include investigating sustainable machine learning approaches and addressing renewable energy related projects. Likewise, deploying a novel paradigm of KGML (knowledge guided machine learning) can propel further research.  

PhD candidate responsibilities: 

The PhD candidate will be responsible for conducting research and implementation in areas such as:

• Exploring KGML in environmental science, e.g. in renewable energy related projects; this can entail working alongside domain experts to extract relevant knowledge, and programming using suitable models to infuse that knowledge with ML methods, thus aiming to optimize performance and interpretability, analogous to RAG (Retrieval-Augmented Generation) in LLMs
• Investigating methods for improving AI model sustainability, e.g. model compression techniques (such as quantization and pruning), carbon-aware computing, minimizing algorithmic complexity, maintenance requirements, mapping energy efficiency and related aspects using KPI (key performance indicators) with respect to ESG (environmental, social, governance) parameters. 
• Developing tools and prototypes (programs, mobile apps, or web interfaces) to validate and dissiminate research findings (e.g., systems for environmental decision support, urban planning, energy optimization, etc.). Designing knowledge bases for further use in KGML; and investigating the use of KGML and Interpretable AI to explain complex green transition concepts to users (e.g., via intelligent tutoring system (ITS) or interactive interfaces).

Qualifications for application: 

The candidate should complete a Master’s degree (MS / MSc / MTech / ME etc.) in Computer Science or Information Technology or Software Engineering or Artificial Intelligence or Data Science or Environmental Science or any other relevant field, prior to admission into this PhD program. 

Required skills (mandatory): 

• Strong understanding of sustainable AI or related areas
• Experience of programming in Python / C / Java or equivalent
• Experience with using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn 
• Highly knowledgeable in mathematical and statistical concepts
• Solid foundation in mathematics for Machine Learning (Linear Algebra, Probability, Optimization).
• Proficient in English for technical writing, oral presentations, and general communication

Additional experience (preferred): 

• Familiarity with the KGML paradigm and its implementation
• Working with domain experts in Environmental Science & Engineering
• Expertise in model compression techniques like quantization and pruning
• Successful development of apps and websites with real-world deployment

Contact persons:

Dr. Aparna Varde, Full Professor, Centre for Software Technology (CST), SDU Vejle (E-mail: apva@mmmi.sdu.dk)

Dr. Emil Njor, Assistant Professor, Centre for Software Technology, SDU Vejle (E-mail: njor@mmmi.sdu.dk)

Dr. Mikkel Baun Kjaergaard, Full Professor, LEGO Chair, Head of Education, SDU Vejle (E-mail: mbkj@mmmi.sdu.dk)

Dr. Torben Worm, Head of Section, Software Engineering and CST at SDU (E-mail: tow@mmmi.sdu.dk)

Application Due Date: April 7, 2026, at 11:59 PM / 23:59 (CET/CEST)