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PhD Positions in Hardware for Machine Learning

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Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

The department of Electrical Engineering (ISY) is central to the engineering education at the Institute of Technology, one of four faculties at Linköping University, and this regards both basic and applied knowledge. The research is based on industrial needs, and ranges from basic research to direct application in collaboration projects. Read more at https://liu.se/en/organisation/liu/isy 

We are looking for two PhD students in Hardware for Machine learning within WASP, formally based at our Division for Computer Engineering.

Your work assignments:
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 industry. Read more: 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: wasp-sweden.org/graduate-school 

As PhD student will carry out research directed by Prof Jose Nunez-Yanez, who is a Royal Society industrial fellow in Machine intelligence at the network Edge and has been appointed as Professor in Computing Architectures for Machine Learning at the Department of Electrical Engineering (ISY), Linkoping University.

The research focus for the advertised positions is directed towards hardware design and algorithms for deploying and training complex neural network models at the edge. We aim at creating energy proportional hardware that adapts the computation to the complexity of the data and that is capable of tracking changes in the data properties and tune the model parameter to these changes. One PhD position focuses on heavily quantized neural networks combined with early-exit strategies and a second position on embedded training with multiple precision hardware extended via dynamic function exchange. Application areas include object detection and classification, natural language processing and fault diagnosis.

As a doctoral 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 workplace
The Division of Computer Engineering performs research in a broad area of computer and computing architectures ranging from artificial intelligence and learning to wireless and optical communication. Read more: liu.se/en/organisation/liu/isy/da 

Your qualifications
You have graduated at Master’s level, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses, in Computer Science, Electrical Engineering, Applied Mathematics, or a related field. Alternatively, you have gained essentially corresponding knowledge in another way.

You should also have good communication skills and good command of science and technology, excellent study results, and sufficient proficiency in oral and written English. A strong background in programming is a must with languages such as C/C++ and Python as well as hardware design skills and experience with FPGA development flows.

Terms of 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.

Salary and employment benefits
The salary of doctoral students is determined according to a locally negotiated salary progression.

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 June 28 CEST/GMT+2. 

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.

Click Here to Apply For The Job

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