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KTH Royal Institute of Technology

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PhD Position in Neuromorphic Computing and Robotics at KTH Royal Institute of Technology KTH Royal Institute of Technology in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

The position is fully funded with a starting salary of 33,000 SEK per month (pre-tax), according to KTH's doctoral student salary agreement. The funding is provided by both KTH (up to 1 year) and the EU MSCA Doctoral Network ELEVATE (up to 3 years). Additional allowances include a mobility allowance and possible family allowance as per Marie Curie regulations. Employment is full-time and temporary, with a maximum duration of four years for doctoral studies.

Deadline

Expired

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Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Electrical Engineering
Artificial Intelligence
Computer Vision
Sensor Fusion
Collaborative Robotics
Robotics
Machine learning

About this position

KTH Royal Institute of Technology in Stockholm, Sweden, is offering a fully funded PhD position in neuromorphic computing as part of the EU MSCA Doctoral Network ELEVATE. The research focuses on event-based sensing and computation for low-power, low-latency robotics, with a particular emphasis on sensory perception for closed-loop robotic systems and event vision for fast human–robot collaboration scenarios. The project will investigate neuromorphic sensors and sensor fusion using multiple event-cameras in real-time human-robot co-working environments, such as a 7 DOF robotic arm interacting with humans and tools.

The doctoral position is based at KTH and includes mandatory research stays at partner universities and companies across Europe. The position is supervised by Prof. Dr. Jörg Conradt and co-supervised by Prof. Dr. Arvind Kumar, both at KTH. The project is ideal for candidates with expertise in neuromorphic/event-based processing, robotics (hardware/software), programming (including C), and experience in neural networks or machine learning. Strong personal skills such as independence, collaboration, and analytical ability are also valued.

Applicants must have a master's degree or equivalent, or have completed at least 240 higher education credits (with at least 60 at the second-cycle level). The EU MSCA mobility rule applies: candidates must not have resided or conducted their main activity in Sweden for more than 12 months in the 3 years prior to recruitment. Proficiency in English equivalent to English B/6 is required.

The position offers a starting salary of 33,000 SEK/month (pre-tax), with additional mobility and possible family allowances as per Marie Curie regulations. Funding is provided by both KTH and the EU MSCA Doctoral Network. Employment is full-time and temporary, with a maximum duration of four years for doctoral studies. The start date is according to agreement, and the application deadline is rolling.

To apply, candidates should submit a CV, application letter, copies of diplomas and grades, proof of English proficiency, and representative publications through KTH's recruitment system. For more information, contact Prof. Jörg Conradt at [email protected]. This opportunity is ideal for those interested in cutting-edge research at the intersection of computer science, robotics, and electrical engineering, with a focus on neuromorphic computing and human-robot collaboration.

Funding details

The position is fully funded with a starting salary of 33,000 SEK per month (pre-tax), according to KTH's doctoral student salary agreement. The funding is provided by both KTH (up to 1 year) and the EU MSCA Doctoral Network ELEVATE (up to 3 years). Additional allowances include a mobility allowance and possible family allowance as per Marie Curie regulations. Employment is full-time and temporary, with a maximum duration of four years for doctoral studies.

What's required

Applicants must have a master's degree or equivalent in a relevant field (e.g., computer science, electrical engineering), or have completed at least 240 higher education credits with at least 60 at the second-cycle level. Candidates must not have resided or conducted their main activity in Sweden for more than 12 months in the 3 years immediately preceding recruitment (EU MSCA mobility rule). Proficiency in English equivalent to English B/6 is required. Ideal candidates have expertise in neuromorphic/event-based processing, robotics (hardware/software), excellent programming skills (including C), and experience in neural networks or machine learning. Personal skills such as independence, collaboration, professionalism, and analytical ability are also important.

How to apply

Apply through KTH's recruitment system using the provided link. Prepare a CV, application letter, copies of diplomas and grades, proof of English proficiency, and representative publications. Ensure your application is complete and submitted before the closing date. Contact Prof. Jörg Conradt for questions.

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