|September 17, 2023
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We are looking for a PhD student in Information Theory and Machine Learning to the division of Information Coding (ICG).
Your work assignments
The Information Coding Division (ICG) within the Department of Electrical Engineering (ISY) at Linköping University uses, among others, information theory to develop future-proof communication, identification, and computation methods for future (classical and quantum) networks. Our aim is to approach the ultimate security and privacy performance limits with low-complexity methods. Applications of these methods include physical layer security, private distributed learning, post-quantum cryptography, quantum communications, cybersecurity, security based on the unique features of hardware components, etc.
We invite highly motivated and skilled candidates to apply for a PhD position to conduct research on Information Theory and Machine Learning. Research areas of high interest include (but are not limited to):
- Privacy for (Distributed) Learning
- Biometric Secrecy Systems
- Physical Layer Security & Security for 6G
- Information Theoretic Analysis of Deep Neural Networks (DNNs)
- Coding Theory
- Provable Security for Cybersecurity
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.
You have graduated at Master’s level in Electrical Engineering, Communication Engineering, Applied Mathematics, Applied Physics or equivalent or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.
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 particularly considered:
- Solid knowledge in Probability Theory and high motivation to learn fundamentals of information theory and/or deep neural networks are required.
- Ability to work in a multi-disciplinary and international environment as well as ability to communicate freely in English both orally and in writing are required.
- Programming skills in one or more of Matlab, Mathematica, C, Python, and VHDL are a plus.
We develop a study plan when the employment begins, so a declaration of intent does not need to be sent with the application.
You will work in the Information Coding Division (ICG) which carries out research, undergraduate and postgraduate education within. The division is part of the Department of Electrical Engineering (ISY). Read more at https://liu.se/en/organisation/liu/isy/icg.
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.
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.
Information about union representatives, see Help for applicants.
Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than October 15, 2023.
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!
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+46 13 288961
Associate professor/Head of division
+46 13-28 13 79