惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Application and Cybersecurity Blog
Application and Cybersecurity Blog
博客园 - Franky
博客园 - 叶小钗
阮一峰的网络日志
阮一峰的网络日志
Y
Y Combinator Blog
The GitHub Blog
The GitHub Blog
J
Java Code Geeks
F
Full Disclosure
V
V2EX
The Register - Security
The Register - Security
罗磊的独立博客
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
云风的 BLOG
云风的 BLOG
T
Troy Hunt's Blog
Microsoft Security Blog
Microsoft Security Blog
Help Net Security
Help Net Security
P
Privacy & Cybersecurity Law Blog
K
Kaspersky official blog
博客园 - 聂微东
Recorded Future
Recorded Future
I
Intezer
S
Schneier on Security
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
H
Hacker News: Front Page
SecWiki News
SecWiki News
M
MIT News - Artificial intelligence
Security Latest
Security Latest
Attack and Defense Labs
Attack and Defense Labs
A
About on SuperTechFans
aimingoo的专栏
aimingoo的专栏
宝玉的分享
宝玉的分享
T
Tenable Blog
B
Blog
N
News | PayPal Newsroom
P
Proofpoint News Feed
D
Docker
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
MyScale Blog
MyScale Blog
C
Cisco Blogs
A
Arctic Wolf
T
Threat Research - Cisco Blogs
I
InfoQ
Stack Overflow Blog
Stack Overflow Blog
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
GbyAI
GbyAI
P
Palo Alto Networks Blog
Engineering at Meta
Engineering at Meta
Hugging Face - Blog
Hugging Face - Blog
Latest news
Latest news
Project Zero
Project Zero

Available vacancies

Senior Associate Professor in Medical Data Analytics Associate professor in quality management Team Lead for AI Technology & Tools, AI-factory Mimer PhD student in Computer Science PhD Student in Artificial Intelligence-Based Flow Control for Hydropower Professor in Plant Bioelectronics University Lecturer in Computational Social Science – temporary assignment Principal Research Engineer in Organic Photonics and Nano-Optics Postdoc in Soft Electronics Application Experts to MIMER AI Factory, NAISS International student assistants Principal Research Engineer in Computational Modeling of Radical-Based Systems PhD student in wireless systems Principal Research Engineer in Clinical Neurophysiology Professor in Child Studies PhD student in Medical Science PhD student in generative modeling for data-efficient machine learning PhD student in AI-driven Computer Graphics and Image Synthesis Research Engineer Postdoc in Molecular Immunology and Proteomics Assistant professor in Computer Science with Specialisation in Cybersecurity Postdoc in electrocatalysis for sustainable energy and chemical conversion PhD student in electrocatalysis for sustainable energy conversion Assistant professor in Machine Learning with a focus on Trustworthy Visual Data Postdoc in Pharmacogenomics and Machine Learning Principal research engineer within Organic Bioelectronics Postdoc in biocomposites Research Assistent Ph D position in Environmental Technology and Management Cryo-EM method development and analysis PhD student in Theoretical Physics Postdoc in stretchable fluid batteries for sustainable wearable electronics PhD student in financial mathematics or financial statistics Postdoc in Financial Mathematics or Statistics PhD student in AI Security: Information-Theoretic Foundations of Memory Poisoning PhD Position in Sustainability Analysis of Contaminated Land Remediation Research Assistant within Applied Physics PhD in Plant Bioelectronics PhD in Design with focus on heterogeneous adaptive swarm systems Research Assistent PhD Student with a Focus on Distributed Radar and Communication in Autonomous Drone Swarms Postdoc in AI for cybersecurity of communication software PhD students in sensor fusion and optimal motion planning for drone swarms Ph D position in Business Administration PhD student in cognitive science or design with a focus on socially critical use of drone swarms Linköpings universitet PhD in Applied Physics Postdoc in Organic Bioelectronics PhD Student in Automatic Control with focus on sensor fusion for localization PhD student in Fluid and Mechatronic Systems UX design assistant - Visualization Center C Postdoc in Organic Chemistry Postdoc in Organic Chemistry PhD student in Medical Science Postdoctor in AI Implementation in Healthcare PhD student in Computer Science with focus on heterogeneous adaptive swarm systems Linköpings universitet Linköpings universitet Linköpings universitet Linköpings universitet Linköpings universitet Linköpings universitet PhD student in Flight Logistics Linköpings universitet Associate professor in design PhD position in Environmental Technology and Management Professor in Neuroengineering
PhD Positions in Computer Vision and Learning Systems for Heterogeneous Adaptive Swarm Systems
2026-06-02 · via Available vacancies

We have the power of over 50,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

At the Department of Electrical Engineering (ISY), we are currently recruiting two PhD students in computer vision and learning systems to work within the newly established national Centre for Heterogeneous Adaptive Swarm Systems (CHASS).

Your work assignments

The positions are announced within the newly established and multi-disciplinary "Center for Heterogeneous Adaptive Swarm Systems" (CHASS), funded by the Swedish Foundation for Strategic Research. CHASS, which you will be a part of, bring together leading researchers in AI, autonomous systems, robotics, swarm intelligence, advanced communication, sensing, perception, autonomous decision-making, human-swarm interaction, swarm governance, mission-adapted design and manufacturing. Research conducted in the center thus spans the full spectrum of drone swarm technologies and the PhD students will therefore work at the cutting edge of drone swarm technology within a rich multidisciplinary environment and will be part of an initial team of approximately 15 PhD students connected to CHASS.

We announce two connected positions in a research project that will study perception for adaptive drone swarms:

  1. The first position will study autocalibration for heterogeneous sensor swarms, with a particular focus on ensuring real-time consistency and accuracy in both the sensor calibrations and relative location to each other.
  2. The second project will study shared world models for drones, including the challenges of updating and maintaining the shared world model under uncertainty and incomplete perception.

As a PhD 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 per cent of full-time.

Your qualifications

You have graduated at Master’s level in computer science, electrical engineering, applied physics, or applied mathematics, with at least 240 ECTS credits, of which at least 60 are cycle 2, with a specialization in computer vision or equivalent. Alternatively, you have acquired essentially the corresponding knowledge in some other way. The degree requirement must be met no later than at the time the employment decision is finalized, which occurs when the employment contract is signed.

The candidate should have strong mathematical skills and experience in machine learning, programming, and the analysis of visual data. Furthermore, you are able to work with a long-term perspective and drive projects forward even when challenges arise. You enjoy working in a result-oriented manner and strive to deliver work of high scientific quality.

The role requires effective collaboration in a research environment and clear, transparent communication. We place great emphasis on a quality-conscious approach to work and strong analytical language skills, meaning that you should be able to process text, theory, and research literature in a structured and reflective manner. In addition, you should have well-developed problem-solving skills and be able to analyze complex research questions, identify relevant approaches, and independently drive your work forward. As our operations have an international focus, fluency in spoken and written English is required.

Your workplace

The Division of Computer Vision and Learning Systems (CVL) at ISY has a vibrant research environment with a total of approximately 30 employees. This includes four faculty members, Assistant Professors, Postdocs, and PhD students, with PhD students making up half of the staff. We also have several adjunct researchers. CVL conducts research and education at the undergraduate, advanced, and doctoral levels in machine learning within computer vision.

The division has been mentioned as one of Sweden's best AI research environments in Vinnova's report from 2025. We have ongoing research activities within WASP (Wallenberg AI, Autonomous Systems and Software Program), ELLIIT (Excellence center), and LiU's profile area VDF (Visual digital futures).

For more information about our work, please visit our webpage: https://liu.se/en/organisation/liu/isy/cvl.

For more information about ISY, go to: https://liu.se/en/article/open-positions-at-isy.

The 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 normally four years’ full-time equivalent. Extension of employment up to five years is based on the degree of teaching and institutional assignment. Further extensions may be granted in exceptional circumstances. You will initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan.

To learn more on working as a PhD student at ISY, please contact: isyphdcouncil@groups.liu.se.

Starting date by agreement.

Background screening may be carried out before any decision on employment is made.

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

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 22, 2026.

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.

URL to this page
https://web103.reachmee.com/ext/I011/853/main?site=7&validator=d7a66c13be778ef950c393a904293789&lang=UK&rmpage=job&rmjob=29310&rmlang=UK