Postdoc position on Trustworthy AI

Work assignments 

The multi-disciplinary centre for cyber resilient AI, RESIST, is a national effort funded by the Swedish Strategic Research Foundation (SSF) to bring together leading researchers in AI and cybersecurity to develop novel solutions to cyber-resilient AI for the benefit of Swedish industry and society. The vision is to make Sweden a role model in secure trustworthy AI by pioneering cyber resilience across the AI lifecycle. The research program focuses on four key themes: Trustworthy and Verifiable AI, Runtime Security Assurance, Robust and Secure AI-Supported Development, and Resilient Distributed and Agentic. RESIST will drive world-class research in the intersection between AI and cybersecurity through a strong, stimulating and well connected international research environment. Research outcomes will be validated in real world scenarios with industry and public-sector partners. RESIST will also serve as a national hub for cyber resilient AI, promoting education, knowledge sharing, and policy development.

For this position, we are looking for a postdoc candidate who will advance the research frontier in Trustworthy and Verifiable AI within this collaborative national project.

As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.

Qualifications

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you and no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

We are looking for someone with a PhD in computer science or related areas. The candidate has a strong research record with publications in top-tier conferences and journals, with experience in one or more of the following areas: mathematical analysis of AI models in terms of correctness of outcomes, neuro-symbolic reasoning in cybersecurity, efficient methods to provide explainable outputs from AI models in presence of attacks on the models or data, and scalable methods that move beyond feature attribution aiming for root cause analysis and decision/audit support.

Qualified candidates will also be evaluated in terms of additional merits in relating to engagement in application areas with societal relevance. Experience with Safety-critical autonomous systems (e.g., UAVs or robots), or High-availability networking infrastructures (e.g. 5G and beyond) will be considered as a plus.

In this multi-disciplinary national project we seek candidates with strong communication and collaboration skills who have a deep knowledge in their own field but open to collaboration across topics or with researchers involved in RESIST at the other universities. The candidates who are able to work in teams but also independently are highly valued. Since collaboration with industry may be carried out in Swedish, knowledge of the language is additional merit.

The workplace

You will be employed in the Cybersecurity division with close to 50 members at the department of Computer and Information Science (IDA). You will carry out research together with Simin Nadjm-Tehrani, Professor in Dependable Distributed Systems. As a junior researcher a postdoc will be offered the opportunity to mature in an internationally renowned research environment with excellent facilities and a wide network of collaboration in industry and academia.

Linköpings universitet (LiU) är ett centrum for forskningsexcellens inom AI med stark och bred forskning och utbildning inom AI, både från ett tekniskt och ett interdisciplinärt perspektiv. Koordinator för TrustLLM ett stort EU-projekt för att utveckla tillitsfulla och faktabaserade språkmodeller. Värd för Sveriges största forskningsprogram Wallenberg AI, Autonomous Systems and Software Program (WASP), Wallenberg AI and Transformative Technologies Education Development Program (WASP-ED), samt National Academic Infrastructure for Supercomputing in Sweden (NAISS) som inkluderar en EuroHPC (Arrhenius) och en AI-fabrik (Mimer).

Cybersecurity research at LiU focuses on securing the most critical functions of digital society. Through numerous national and European projects, methods are developed for areas such as verification, intrusion detection, and AI-based cybersecurity. The research also encompasses the protection of critical infrastructure, including smart grids and secure software supply chains. At the university's cybersecurity lab, vulnerabilities in isolated systems are analyzed to pioneer new research methods and train both students and professionals. More about cybersecurity research at LiU: https://liu.se/en/research/cybersecurity

The opportunity to work in a friendly atmosphere and strengthen the excellent research ongoing in the division together with existing and forthcoming PhD students is further accentuated through the national context of this research centre (RESIST). We welcome candidates who are looking for a future cybersecurity career in academia or qualified public/private sector positions in Sweden and are looking to grow as a researcher in our environment. The candidate is given the chance of, and training in pedagogical development and contributes towards acquiring research grants by the senior faculty members.

Read more about our activities at https://liu.se/en/research/cybersecurity and https://www.rics.se/.

The employment

This employment is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The position as a postdoc is full-time.

Starting by agreement, before September 2026.

This position may come to be a security classified position. If so, security screening including a records check will be carried out before any decision on employment is made.

Salary and employment benefits

The university applies individual salaries.

More information about employee benefits is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button. Your application must be received no later than April 1, 2026.
 
Applications and documents received after the date above will not be considered. 

In your application, please include an academic CV that lists your publications with DOIs, and a pdf copy of or a link to your PhD thesis. We also look to get to know you better with a personal letter of at most two pages, explaining your motivation, research goals, and why you fit the advertised position.