PhD students in Digital Image Forensics with Focus on Deep Learning

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Ref LiU-2024-05521
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We are now looking for one or two PhD students in Information Coding at the Department of Electrical Engineering (ISY). You will be a part of the WASP graduate school.

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more at: https://wasp-sweden.org/.

The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Read more at: https://wasp-sweden.org/graduate-school/.

Your work assignments

The PhD positions center on developing innovative algorithms and conducting advanced research in the field of digital image forensics. The work will specifically leverage state-of-the-art deep learning techniques to address challenges in visual data processing and forensic analysis. As part of a dedicated, collaborative research team, the positions will push the boundaries of digital forensics by advancing AI-driven methods for identifying, verifying, and analyzing image authenticity.

As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.

Your qualifications

You have graduated at Master’s level in Computer Science, Electrical Engineering or Information Security, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in previously named subjects. Alternatively, you have gained essentially corresponding knowledge in another way. The requirement for a degree must be met no later than the time the employment decision is finalized, which occurs when the employment contract is signed.

Selection for postgraduate education takes place according to the assessed ability to assimilate the postgraduate education. When filling this position, the following competencies will be taken into account in particular by the applicant:

- Good mathematical maturity and experience in digital forensic analysis, machine learning, and visual data processing.

- Hands-on experience with deep learning frameworks (Pytorch, Tensorflow, among others) and techniques.

- Ability to work independently and ability to formulate and tackle technical and scientific problems.

- You demonstrate high reliability and consistency in your work.

- Good ability for written and oral communication, including good knowledge of English in terms of both speech and writing.

- Ability to work within a multi-disciplinary and multi-cultural team/environment.

- Publications in relevant fields are considered a bonus.

Your workplace

You will work in the division of Information Coding that conducts research as well as undergraduate and postgraduate education. The division of Information Coding carries out research and teaching in many areas of Information Processing Technologies, including Quantum Information and Computation, Optoeletronics, Physical Layer Security and Information Theory, Cybersecurity and Digital Forensics. Read more here: https://liu.se/en/organisation/liu/isy/icg.

Read more about working at ISY here: https://liu.se/en/article/open-positions-at-isy.

The employment

When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University

The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.

Starting date by agreement.

Background screening may come to be carried out before any decision on employment is made.

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than December 18, 2024.

Applications and documents received after the date above will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities.

We look forward to receiving your application!


Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Shizhen Chang

Assistant Professor

shizhen.chang@liu.se

Guilherme Xavier

Associate professor/Head of division

+46 13-28 13 79

guilherme.b.xavier@liu.se

Karin Blomdahl

HR Coordinator

karin.blomdahl@liu.se

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