Neuromorphic systems combine theory from computer science, hardware engineering, and neuroscience in order to create specialized circuits that specialize in mimicking the fantastic computational properties of the human (and animal) central nervous systems. The aspiration is that by mapping computations to such systems, we can both solve problems faster and more power-efficient than with traditional von-Neumann computers. Application areas for neuromorphic systems include brain simulations, machine learning, artificial intelligence, and optimization problem-solving.
We are seeking a Ph.D. student that will work on a Swedish Research Council (VR) funded project that aspires to create a new future-looking framework for synthesizing modern neuromorphic hardware on reconfigurable architectures. The Ph.D. student will work with all aspects of the framework, including its design, bench marking, and evaluation. The focus will be on mapping neuromorphic systems onto Field-Programmable Gate Arrays (FPGAs). The Ph.D. student will also use the framework as a method to explore emerging technology (e.g. 3D stackable memory) in order to quantify performance and power-consumption benefits of future neuromorphic systems in the decades to come. The student is expected to disseminate research results in top-tier international journals and conferences. In addition, the Ph.D. student will actively participate in department and group activities (such as seminars, courses, and conferences) as well as participate in teaching within the university programs.
Third-cycle subject: Information and Communication Technology
Supervision: Assistant Professor Artur Podobas
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here
In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:
The ideal candidate has a master in computer science or electronics. The candidate has documented experience in (one or more) of the following scientific areas: neuromorphic computing, High-Level Synthesis (HLS), compilers, reconfigurable hardware (FPGAs/CGRAs), or parallel computing systems (e.g., GPUs).
After the qualification requirements, great emphasis will be placed on personal competency.
Target degree: Doctoral degree
Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.
Contact information KTH's website.
Contact information section's website.
Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).
Applications must include:
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.Type of employment: Temporary position longer than 6 months
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