PhD Student in Neuromorphic Computing

Blekinge Institute of Technology is a place for curiosity and ingenuity with a campus located in the Blekinge archipelago. Here we offer education from undergraduate to doctoral level and conduct world-class applied research. We are making a difference. Do you want to join us? The Department of Computer Science (DIDA) is one of three departments at the Faculty of Computer Science. It is BTH's largest department with over 70 staff members. Research is conducted within two major areas: computer science and computer systems engineering, as well as visual and interactive computer science. Various research projects are ongoing in both areas.

Job Description

The PhD position is part of the research project "ScEENeC - Scalable, Energy-Efficient Neuromorphic Computing", which is conducted in collaboration with researchers at Linköping University and Lund University, and is funded by ELLIIT - Excellence Center at Linköping - Lund in Information Technology.

High energy consumption and high demands for computational capacity are significant challenges for today's AI systems. A promising alternative is so-called spiking neural networks (SNNs) that are executed on neuromorphic hardware. Neuromorphic computing attempts to imitate how the brain works by using changes in signals, known as "spikes", instead of continuously calculating and updating values across the entire network as in traditional neural networks. This gives rise to new challenges that we will address in the project, such as efficient training of SNN models, programming abstractions for SNNs, development and mapping of applications to SNNs, and how to balance energy consumption, delays, and costs.

The PhD student employed by BTH will primarily focus on the following two aspects:

• Guidelines/frameworks for mapping applications to neuromorphic systems.
• Efficient training methods for neuromorphic applications on neuromorphic systems.

We are looking for a highly motivated person with deep technical knowledge who is interested in working in the above areas. The PhD student is expected to collaborate with our partners at Linköping University and Lund University as part of the employment.

The main tasks for a PhD student are to conduct research studies, which includes participating in research projects and taking doctoral courses (at least 80%). The work may also include teaching or other departmental duties (maximum 20%). The project involves regular business trips to our project partners and to international conferences.

Eligibility Requirements

To be employed as a PhD student, the applicant must be or become accepted into doctoral education. Eligible for admission to doctoral education is someone who has completed a degree at the advanced level in a technical, mathematical, or natural science field or who has otherwise acquired knowledge to be able to benefit from doctoral education in the subject.

(Chapter 7, Section 39 of the Higher Education Ordinance (1993:100)).

Desirable Qualifications and Experience

In addition to the requirements described in the job description, eligibility requirements, and assessment criteria for the position, the following degrees, competencies, and experiences are considered desirable:

• Hold a Master's degree in computer science, computer engineering, or equivalent.
• Demonstrate good knowledge of English (reading, writing, speaking).
• Show the ability to work independently as well as in groups, and to initiate and drive research studies.
• Good knowledge of computer architecture, low-level programming, and the interface between hardware and software.
• Good knowledge in one or more of the following areas: artificial intelligence and machine learning, multicore and GPU programming, and parallel computing systems.
• Good knowledge in one or more of the following programming languages/environments: C/C++, Python, PyTorch (or similar), and CUDA.

Work location: Karlskrona.

Extent of employment: 100%.

Start date: By agreement.

Duration: Fixed-term employment for up to 4 years of research time. Initially, the employment covers one year, after which it is renewed for a maximum of two years at a time, provided that the individual study plan is followed. The employment may include up to 20% other duties, which may extend the duration to a maximum of 5 years.

Application deadline: 2026-02-28.

Your application should include:

• A personal cover letter.
• A description of your background and experience in the relevant areas.
• A CV.
• Certified copies of transcripts and diplomas.
• Contact information for two referees.
• The earliest date when the employment can begin.
• An attachment with existing publications (if relevant).
• A link to your thesis (latest/highest degree).

You apply via our recruitment system by clicking the “apply” button below.

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Instructions for applicants can be found at https://www.bth.se/om-bth/jobba-hos-oss/lediga-jobb (https://www.bth.se/om-bth/jobba-hos-oss/lediga-jobb). As an applicant, you are responsible for ensuring that the application is complete in accordance with the advertisement and instructions.

BTH welcomes applicants with diverse backgrounds and experiences. We actively work to harness the qualities that diversity and gender balance bring to the organization.

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