Postdoctoral Researcher in Wireless Network Security and Trustworthy AI

Job description
The postdoctoral researcher will work within the project TRUST, a collaborative initiative between Mid Sweden University and the University of Vaasa, Finland. This project focuses on advancing security in wireless networks through innovative solutions in blockchain-based trust mechanisms and AI-driven threat detection. The responsibilities include conducting research and developing security solutions for future wireless networks, identifying vulnerabilities, and implementing protection mechanisms against threats in 5G/6G environments. The postdoctoral researcher will employ advanced methods to analyze, identify, and mitigate security flaws by implementing cryptographic protocols, using Software-Defined Radio (SDR) for security testing, and developing AI-based intrusion detection and Explainable AI (XAI) solutions for network security. The research will also focus on designing blockchain-based mechanisms for secure data exchange in wireless systems. The postdoctoral researcher will collaborate with a multidisciplinary research team, participate in research projects, and publish results in international journals and conferences. Collaboration with industry partners and research institutes is an important part of the work, and teaching opportunities may be available depending on the scope of the project.

Requirement
To be eligible for a post-doctoral appointment, your qualifications must match the requirements described in Mid Sweden University’s employment procedures. 

This position requires a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong research background in wireless security, cryptographic protocols, and network resilience.

Assessment 
Candidates will be evaluated based on their scientific competence in relevant fields, experience in 5G/6G network security, and knowledge of machine learning frameworks and cybersecurity analysis. Previous experience in collaborative research projects and research funding applications, as well as the ability to contribute to the development of innovative security solutions, will be considered an asset. Experience in experimental research, including the development of proof-of-concepts, is also a significant merit. The applicant must have hands-on experience with Software-Defined Radio (SDR) and security testing, as well as expertise in blockchain-based trust mechanisms and secure data exchange. Furthermore, experience in AI-driven threat detection, with a specific focus on Trustworthy AI and Explainable AI (XAI), is essential. The applicant should have a strong publication record in international journals and conferences and solid programming skills in Python and MATLAB.

Personal qualities
The position requires strong collaboration skills and flexibility, as well as the ability to work independently and conduct research proactively. The applicant should demonstrate strong analytical and problem-solving skills, as well as excellent communication skills in English, both spoken and written.

Other assessment criteria 
The applicant should be able to communicate research findings to both academic and non academic audiences. Experience working in international research environments is considered a merit.

Employment process
Processing of the appointment will be in accordance with Mid Sweden University’s Employment Procedures.

Terms of employment
This is a full-time position (100%) for 2 years from 01-06-25 or as agreed.

Terms and conditions of employment are set out in the Fixed-term employment contract for post-doctoral appointments.

Place of employment: Sundsvall

Information
For more detailed information contact the Head of Department, Dr Patrik Österberg, Patrik.osterberg@miun.se, or Prof. Mikael Gidlund (research leader), mikael.gidlund@miun.se.

Application
Application documents must be submitted in Swedish or English. The application must include a cover letter detailing research interests and experience, a complete academic CV including a list of publications, contact information for three referees, and a brief description of past research and future goals (max 3 pages).

Please send in your application through the recruitment system by no later than APRIL 4st, 2025.