job description
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PhD student in Electrical Engineering with research interests in Information Theory and Machine Learning. Lund University was founded in 1666 and has been ranked among the world’s leading universities several times. The university has about 47,000 students and more than 8,800 faculty members in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Lund University welcomes applicants with diverse backgrounds and experiences. We see gender equality and diversity as a strength and an asset. This position is part of the Communication Engineering Division, Department of Electrical and Information Technology, LTH School of Engineering, Lund. The department has 8 senior researchers, about 20 PhD students and intensive collaborations with industry. The department works in the field of wireless communications in a broad sense, with activities ranging from communication theory to the implementation of antenna structures. The research area falls under information theory and channel coding with applications to machine learning algorithms. By adding redundancy, error-correcting codes are used in communication systems to protect information from interference that occurs during transmission. On the other hand, in machine learning, Error Correcting Output Codes (ECOC) are used to improve the performance of multi-class classifiers. The project is funded by the Swedish Research Council (“VR”) and aims to improve the reliability of machine learning algorithms by extending the concepts of modern coding theory to classification and clustering. The PhD student’s main responsibility is to concentrate on research, including participation in research projects and third cycle courses. Job responsibilities also include teaching and other departmental duties (no more than 20%). On the research side, you will extend the ECOC framework to another level by introducing the concept of clockwise classification. Analogous to a communication system that transmits information in blocks, the categorization task is performed in a clockwise direction and the number of classes increases accordingly. In this way, we can extend ECOC to large lengths independent of the original number of classes. In this way, we can design efficient graph coding schemes based on modern coding theory, which will improve the performance of ECOCs beyond existing research results. This will improve their ability to estimate output uncertainty and robustness against adversarial attacks. This work includes both theoretical evaluation of the algorithms considered and evaluation through computer simulations. As part of your work, you will write scientific papers and travel to international conferences to present your results. You will also deepen your knowledge by taking courses at PhD level.
offer requirements
The general entry requirements for third-cycle courses and study programs are met if the applicant has: obtained a second-cycle qualification, or has fulfilled the requirements for a course of at least 240 credits, of which at least 60 credits have been obtained in the second cycle, or has otherwise gained substantially equivalent knowledge in Sweden or abroad. Applicants meet the specific entry requirements for the third cycle of the Electrical Engineering program if they have: at least 60 second-stage credits in subjects related to electrical engineering, or a Master of Engineering degree in biomedical engineering, computer science, electrical engineering, engineering mathematics, nanoengineering, engineering physics or information and communication engineering. Other requirements: good oral and written English language skills. The selection criterion for Stage 3 studies is the student’s potential to benefit from such studies. Potential is assessed primarily on the basis of the results of Stage 1 and Stage 2 studies. Particular attention is paid to the following: knowledge and skills related to the dissertation project and research topic. Assessment of the ability to work independently and to formulate and solve research problems. Written and oral communication skills. Other experience relevant to Key Stage 3 study, e.g. professional experience. Other assessment criteria: experience of mathematical modeling and analysis of digital communication systems. This also includes software tools used, such as MATLAB or Python.Documented knowledge or experience in information theory and/or channel coding. Documented knowledge or experience in machine learning. Strong math skills. Good collaborative skills, drive and independence will also be considered, as well as how the applicant, through experience and skills, is considered to have the competencies required to successfully complete the third cycle of the program.
offer benefits/salary
Lund University is a public university, which means that employees have access to exceptional benefits, generous annual leave and a generous occupational pension scheme. Learn more about becoming a Lund University employee on the Lund University website Working at Lund University.