皇家工学院PhD position in brain-like machine intelligence and artificial cognition申请条件要求-申请方
主办方
皇家工学院
PhD直招介绍
Project description
Third-cycle subject: Computer Science with specialisation in Computational Biology
This position offers a unique opportunity to develop and advance cognitive brain theories and build computational neural network models to inform the emerging class of brain-inspired AI systems towards brain-like machine intelligence. The successful applicant will capitalise on the vibrant interdisciplinary environment sustained by a strategic collaborations with Karolinska Institute and Stockholm University.
The goal of the project is to develop and simulate large-scale neural network models of the brain’s cognitive function with focus on cortical memory system, and use them to make advances towards brain-like intelligent systems. Special focus is on coupling multiple neural networks to study neural interactions between different cortical regions supporting cognitive function. You are expected to build such large-scale brain plausible network-of-networks models in the continuum between spiking and non-spiking computations, and hence propose novel architectural blueprint for AI agents. You should also be able to evaluate the emerging models given multi-modal data and constraints. The project will involve interdisciplinary efforts across multiple fields including cognitive science, computational neuroscience, machine learning / AI (deep generative modelling) and dynamical systems among others.
The position also implies the need to write scientific papers in English.
Supervision: Pawel Herman is proposed to supervise the doctoral student. Decisions are made on admission
Selection
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:
independently pursue his or her work
collaborate with others,
have a professional approach and
analyze and work with complex issues.
In addition, interest in brain’s cognitive function, computational brain theories as well as cortical computations is particularly appreciated.
Also, competence in scientific programming, numerical simulations or GPU programming is desirable, but not mandatory.
Finally, previous experience in large-scale neural network based brain models (spiking or non-spiking) is regarded as advantageous qualification.
After the qualification requirements, great emphasis will be placed on personal skills.
Target degree: Doctoral degree
Information regarding admission and employment
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.
As a doctoral student, you are entitled to a workplace with many employee benefits( https://www.kth.se/en/om/jobba-pa-kth/kth-en-arbetsplats-med-manga-formaner-1.467932 ) and monthly salary according to KTH’s Doctoral student salary agreement( https://intra.kth.se/en/anstallning/anstallningsvillkor/lon/doktorandstegen-1.572915 ). Read more about Doctoral studies (PhD) | KTH | Sweden( https://www.kth.se/en/studies/phd ).
Union representatives
Contact information for union representatives( https://intra.kth.se/en/administration/rekrytering/annonsering/fackrepresentanter-vid-kth-1.500898 ).
Doctoral Student’s network (Students’ union on KTH Royal Institute of Technology)
Contact information for PhD chapter( https://www.dr.kth.se/ ).
Join us at KTH
KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.
Learn more about our benefits and what it's like to work and grow at KTH
( https://www.kth.se/en/om/jobba-pa-kth/kth-din-framtida-arbetsplats-1.49050 )
Type of employment: Temporary position
Contract type: Full time
First day of employment: According to agreement
Salary: Monthly salary according to KTH's doctoral student salary agreement
Number of positions: 1
Full-time equivalent: 100%
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: PA-2026-1842
Contact:
Pawel Herman,
Published: 2026-06-04
Last application date: 2026-07-10
皇家工学院Phd申请条件和要求都有哪些？PhD position in brain-like machine intelligence and artificial cognition项目是不是全奖？有没有奖学金？下面我们一起看一下皇家工学院申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
Admission requirements
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:
passed a second cycle degree (for example a master's degree), or
completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
acquired, in some other way within or outside the country, substantially equivalent knowledge.
The applicant's degree education is expected to be in the field of computer science, engineering physics/math, cognitive science or related areas.
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6( https://www.kth.se/en/studies/phd/entry-requirements-for-doctoral-studies-1.520175 ).
报名方式
申请链接
招生人信息
Pawel Herman
邮箱：paherman@kth.se
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