计算机科学博士研究员(科研助理,Secure Coordination and Interaction in Distributed AI)

Doctoral student in Computer Science with a focus on Secure Coordination and Interaction in Distributed AI

Örebro University · 瑞典 · Orebro

原帖优先:申请材料、截止时间与资格以原帖和学校官方说明为准。

AI 中文速览

研究内容
研究内容:安全协调和交互在分布式AI中的博士研究
申请条件
申请条件:硕士学位,计算机科学相关领域
待遇
薪资待遇与合同:SEK 32,300 每月,四年全职博士研究生职位
申请方式
申请方式与截止:在线申请,2026年11月2日截止
材料清单
  • 简历
  • 证明文件
  • 独立项目
  • 其他相关文件
  • 研究兴趣描述

由 @cf/meta/llama-3.3-70b-instruct-fp8-fast 生成,博士岗判定置信度 100%。

岗位信息

截止
(Europe/Stockholm) 剩 17 天
学科
计算机科学
合同类型
雇佣合同
原文薪资
SEK 32,300 / 月(税前)
税后月薪(估)
¥16,500;房租后 ¥11,300
估算假设
单身、无子女、雇佣合同的粗略估算,以学校 offer 为准;扣除率 27%;汇率日期 2026-10-01
原帖发布
本站收录
内容更新
原帖导师候选(待核验)
Prof. Amy Loutfi, Prof. Franziska Klügl, Dr. Alberto Giaretta
来源
Örebro University 官方招聘 · 最近核对 2026-10-16
判定依据(原文摘录)
  • is_phd
    doctoral student (PhD student) for the doctoral programme in Computer Science
  • english_ok
    application documents and attachments are to be written in Swedish, Danish, Norwegian, or English
  • bachelor_ok
    have been awarded a second-cycle qualification
  • employment_type
    full-time doctoral studentship for the duration of the study programme
原文

Örebro University and the School of Science and Technology are looking for a doctoral student (PhD student) for the doctoral programme in Computer Science, concluding with a doctoral degree. Start date: 1 st of December 2026

Project description

The multi-disciplinary center for cyber resilient AI, RESIST, is a national effort funded by the Swedish Strategic Research Foundation (SSF) to bring together leading researchers in AI and cybersecurity to develop novel solutions to cyber resilient AI for the benefit of Swedish industry and society. The vision is to make Sweden a role model in secure trustworthy AI by pioneering cyber resilience across the AI lifecycle. The research program focuses on four key themes: Trustworthy and Verifiable AI, Runtime Security Assurance, Robust and Secure AI-Supported Development, and Resilient Distributed and Agentic AI. RESIST will drive world-class research in the intersection between AI and cybersecurity through a strong, stimulating and well-connected international research environment. Research outcomes will be validated in real-world scenarios with industry and public-sector partners. RESIST will also serve as a national hub for cyber resilient AI, promoting education, knowledge sharing, and policy development.

This PhD position is associated with the research theme Resilient Distributed and Agentic AI. For systems with multiple agents – robots, AI agents or humans, we will look at their interactions and analyze whether we can use explicit interaction protocols as a basis to secure interaction on a higher level than communication frameworks. Such high-level negotiation protocols can be pre-defined or learnt, yet they also need to capture flexibility in exchanging information or giving instructions for modelling modern multi-agent workflows. Research will concern the generation of explicit interaction protocols adapted to the agents involved, as well as the generation of execution guards from those learnt protocols. The overall goal is to make interaction robust, safe, and secure. Also, testing and evaluation in realistic, sandboxed environments as well as in real operational contexts is part of the project. Research is tightly integrated with other research themes within the center.

Supervision: The doctoral student will be supervised by Prof. Amy Loutfi (primary), Prof. Franziska Klügl (secondary) and Dr. Alberto Giaretta (secondary).

The programme and the doctoral studentship

The doctoral programme consists of courses and an independent research project that you will present in a doctoral thesis. The programme concludes with a doctoral degree and comprises 240 credits, which corresponds to four years of full-time study.

Our ambition is for your doctoral studies to be stimulating and purposeful throughout the programme until you have obtained your doctoral degree. A thorough introduction will therefore get you off to a good start and provide a solid foundation on which you can build your studies. As a doctoral student at Örebro University, you will be offered a specially tailored seminar series, covering matters ranging from doctoral programme rules and careers to support during the study period and networking.

The place on the programme is linked to a full-time doctoral studentship for the duration of the study programme, which corresponds to four years of full-time study. More information on doctoral studentships, part-time studies and part-time doctoral studentships can be found in the Regulations Handbook . The initial salary for a doctoral studentship is SEK 32,300 a month (salary period 2025/2026).

Entry requirements and selection

For admission to doctoral studies, applicants are required to meet both general entry requirements and specific entry requirements. In addition, applicants must be considered in other respects to have the ability required to benefit from the programme. For a full account of the entry requirements, refer to the admissions regulations as well as to annex 2 to the general syllabus for Computer Science.

Applicants meet the general entry requirements if they

• have been awarded a second-cycle qualification,

• have satisfied the requirements for courses comprising at least 240 credits, of which at least 60 credits were awarded in the second-cycle, or

• have acquired substantially equivalent knowledge in some other way in Sweden or abroad.

Applicants meet the specific entry requirements for doctoral studies in Computer Science if they have been awarded a Degree of Master of Science in Engineering or a one-year Master’s degree from a programme within the subject field or related subjects, or if he or she has received a passing grade of at least 120 credits, including an independent project of at least 15 credits, in a main field of study of relevance to the computer science field. At least 30 credits of the 120 credits must have been awarded in the second cycle. A person who has acquired substantially corresponding knowledge, in Sweden or abroad, also meets the specific entry requirements.

Information

For more information about the programme and the doctoral studentship, please contact Prof. Amy Loutfi, email: amy.loutfi@oru.se , and/or Prof. Franziska Klügl, email: franziska.klugl@oru.se or Dr. Alberto Giaretta, email: alberto.giaretta@oru.se. For administration issues, contact Head of Unit Martin Magnusson, email: martin.magnusson@oru.se .

At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach.

Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterized by openness, trust and respect. We value the qualities that diversity adds to our operations.

Application to the programme and for the doctoral studentship

The application is made online. Click the button “Apply” to begin the application procedure.

For the application to be complete, the following electronic documents must be included:

• CV

• Proof that you meet the general and specific entry requirements (copies of the original certificate and official transcript for bachelor's and master's degrees)

• Independent project (degree project)

• Other relevant documents, course and degree certificates verifying eligibility

• Description of research interests - explaining why you are interested in this project and why you would be a good candidate for the role (1 page)

As a main rule, application documents and attachments are to be written in Swedish, Danish, Norwegian, or English. Certificates and documents in other languages verifying your qualifications and experience must be translated by an authorised translator to Swedish or English. A list of authorised translators can be obtained from Kammarkollegiet (the Legal, Financial and Administrative Services Agency), www.kammarkollegiet.se/engelska/start .

When you apply for admission, you automatically also apply for a doctoral studentship. More information for applicants will be found on our career site: https://www.oru.se/english/career/available-positions/applicants-and-external-experts/

The application deadline is 2 November 2026. We look forward to receiving your application!

As we have already made our choices in terms of external collaboration partners and marketing efforts for this recruitment process, we decline any contact with recruitment agencies and advertisers.

As directed by the National Archives of Sweden ( Riksarkivet ), we are required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

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