【博士后招聘】实验室合作团队波兰波兹南理工大学Roman Słowińsk教授团队招聘博士后研究人员公告

Roman Słowińsk教授团队招聘博士后研究人员

　　Roman Słowiński has conducted extensive research on methodology and techniques of intelligent decision support, combining Operational Research and Artificial Intelligence. His interests are particularly focused on several key areas: addressing robustness in decision analysis; mining ordinal data; preference learning; and modeling uncertainty and imprecision in decision problems. He has also made significant contributions to rough set theory, fuzzy set theory, and evolutionary multiobjective optimization. His work extends to project scheduling, which encompasses multiple category resources, job modes, multiple criteria, and uncertainties. Furthermore, he applies his decision support expertise in medicine, technology, economics, and environmental studies.

一、招聘岗位 Job Positions Available

　　全职博士后

　　Post-doc–Full-time Employment

二、核心研究方向 Key focus areas

　　本岗位参与 Roman Słowiński 教授主持的跨学科前沿项目 “基于偏好数据可解释分析的智能决策支持”，主要任务为研发创新算法、开展计算实验，并在国际顶级期刊发表成果。核心研究方向：

　　1. 结合决策者偏好可解释模型的群体决策共识达成过程。

　　2. 基于多样化决策规则集的分类器集成构建。

　　The position involves participation in an interdisciplinary and pioneering project, “Intelligent Decision  Support Based on Explanatory Analytics of Preference Data” led by Professor Roman Słowiński. The  objective is to develop innovative algorithms and conduct computational experiments resulting in  publications in leading scientific journals. Key focus areas include:

　　1.Consensus Reaching Process in Group Decision-Making with explanatory models of  decision-makers’ preferences.

　　2.Construction Classifier Ensemble composed of diverse sets of decision rules.

三、岗位要求 Job Requirements

　　1.博士学位取得于2019年1月1日之后，专业领域为计算机科学、计量经济学、管理学或数学。计划于2026年9月1日前进行博士答辩的候选人亦可申请，但须提供答辩所在学院院长签署的证明。

※注：上述期限可因长期病假（超过90天）、康复休假、法定育儿假等顺延；女性候选人每生育或收养一名子女，可额外延长18个月。

2.博士学位须非波兹纳理工大学授予；或候选人已在非波兹纳理工大学、且非博士学位授予国的机构完成至少 10 个月连续且可证明的博士后研究。

　　3.掌握运筹学与人工智能知识，尤其擅长智能决策支持系统方向。

　　4.具备良好的编程技能（Java、Matlab）。

　　5.有相关领域研究成果与论文发表证明。

　　6.英语听说读写能力良好及以上。

　　7.科研时间充裕，自我提升意愿和科研积极性强，富有创造力，具备独立解决问题的能力和团队协作能力。

　　1.A Ph.D. degree obtained1 not earlier than January 1st, 2019, in one of the following scientific  disciplines: computer science, econometrics, management, or mathematics. Candidates whose  doctoral defense is scheduled before September 1, 2026, may also apply, but they should provide  confirmation signed by the Dean of the School where the defense will take place.

　　2.The Ph.D. degree should have been obtained from an institution other than the Poznan  University of Technology, or the candidate has completed at least a 10-month continuous and  documented postdoctoral fellowship at an institution other than the Poznan University of  Technology and in a country other than the country of obtaining the Ph.D. degree.

　　3.Knowledge of operational research and artificial intelligence, particularly in the area of  intelligent decision support systems.

　　4.Good programming skills (Java, Matlab).

　　5.Documented research experience with publications in the required knowledge area.

　　6.At least a good command of English in both speech and writing.

　　7.Attributes such as availability, willingness for self-development, strong motivation for  research work, creativity in problem-solving, independence, reliability, and teamwork skills

四、项目与申请信息 Job Information

　　招聘机构：Faculty of Computing and Telecommunications, Poznan University of Technology, Poznan, Poland

　　申请截止：2026年5月12日

　　录用结果公布：2026年5月22日

　　入职时间：2026年6月至9月

　　合同期限：12个月，可续签

　　薪资待遇：8660 波兰兹罗提/月

　　用工形式：劳动合同

　　申请方式：电子邮件投递

　　Type of NCN competition:MAESTRO project

　　Deadline for submissions: May 12, 2026

　　Competition outcome date: May 22, 2026

　　Start date: between June and September 2026

　　Duration: 12 months, with the possibility of extension

　　Funding amount: salary of PLN 8,660 per month

　　Employment form: employment contract

　　Submission method: E-mail

五、申请材料 Application materials

　　1. 个人简历及求职信

　　2. 博士学位证书、博士论文摘要

　　3. 论文清单和最多 3 篇代表作复印件

　　4. 推荐人姓名、职务、电子邮箱

　　5. 英语能力证明

　　6. 编程语言能力证明

　　7. 个人数据处理授权声明（内容：本人同意位于波兰波兹纳的波兹纳理工大学处理申请材料中的个人信息，仅用于本次招聘）

　　有意者请将材料发送至：roman.slowinski@put.poznan.pl，截止日期2026年5月12日。结果公布：2026年5月22日。

※注：领取本岗位薪资期间，博士后不得从其他雇主（含波兰境外）基于劳动合同获取薪资，亦不得从 NCN 项目直接经费中领取其他报酬。

　　1.CV with a cover letter.

　　2.Ph.D. diploma and a description of the defended doctoral dissertation.

　　3.List of publications and copies of up to 3 of the best ones.

　　4.Name, surname, position, and email address of a person who can provide a reference.

　　5.Statement or certificate of English proficiency.

　　6.Statement of programming language proficiency.

　　7.Statement of consent for the processing of personal data for recruitment purposes with the  following content: "I consent to the processing of my personal data contained in the application documents by the Poznań University of Technology, located in Poznań, for the purpose of conducting the current recruitment process."

　　Interested candidates should send the required documents to roman.slowinski@put.poznan.pl by May 12, 2026.

　　Competition outcome date: May 22, 2026.

　　During the period of receiving this salary, the post-doc will not receive a salary from another employer based on an employment contract, including an employer based outside the territory of Poland, nor any other remuneration from funds granted as direct costs of research projects financed within the framework of NCN competitions

六、岗位优势 Job advantages

　　参与由资深科学家Roman Słowiński教授领衔的、兼具权威性、跨学科性与开拓性的 “MAESTRO” 项目工作。

　　融入国际化团队开展工作，与卡塔尼亚大学（University of Catania）展开合作，并包括前往该机构的访问交流。

　　获邀参与国内外学术会议，公开展示项目成果。

　　The opportunity to work on a prestigious,interdisciplinary,and pioneering MAESTRO project led by an experienced scientist,Prof. Roman Słowiński.

　　Work within an international team, in collaboration with the University of Catania, includingvisits to this institution.

　　Participation in scientific conferences both domestically and abroad to present the project results.

七、团队介绍 Team Introduction

　　Roman Słowiński is a Professor and Founding Chair of the Laboratory of Intelligent Decision Support Systems at the Institute of Computing Science, Poznań University of Technology, Poland. Since 2003 he is also Professor at the Systems Research Institute of the Polish Academy of Sciences in Warsaw.

　　As a full member of the Polish Academy of Sciences, he served as its vice-president from 2019 to 2022. He was also the president of the Poznań Branch of the Polish Academy of Sciences from 2011 to 2018. From 2016 to 2019, he chaired the Committee on Informatics of the Polish Academy of Sciences. Since 2013, he has been a member of the Informatics Section of Academia Europaea, and in 2024, he was elected as a Foreign Correspondent Academician of the Academy of Sciences of the Institute of Bologna (L'Accademia delle Scienze dell'Istituto di Bologna).

　　As the author or co-author, he has published 16 books and more than 550 articles, including 350 papers in major scientific journals (Web of Science h-index=63, Scopus h-index=73, Google Scholar h-index=100). He advised 28 Ph.D. theses in Operational Research and Computer Science; his 16 former PhD students are professors in academia.

　　Roman Słowiński is highly ranked in the Stanford University World’s TOP 2% scientists of the World. He is no. 413 in the world, and no. 1 in Poland, in the ranking of computer scientists by Research.com. In the Google Scholar world ranking of Operational Research scientists, he got no. 20. Publications of Roman Słowiński can be found at: https://orcid.org/0000-0002-5200-7795.

　　Today Roman Słowiński is renowned for his seminal research on using rough sets in decision analysis. He started this work in 1983 with the founder of the rough set concept, the late Zdzisław Pawlak, and continued with Salvatore Greco and Benedetto Matarazzo since the early 90's. He organized the First International Workshop on Rough Set Theory and Applications that took place in Poznań in 1992.

　　Roman Słowiński has been holder of the European Chair at the University of Paris Dauphine, and invited professor at the Swiss Federal Institute of Technology in Lausanne, the University of Catania, Faculté Polytechnique de Mons, University of Michigan-Ann Arbor, Yokohama National University, Université Laval-Québec, University of Missouri-Columbia, University of Osaka, Polytechnique de Tours, École Centrale Paris, Karlsruhe Institute of Technology, and others.

　　Roman Słowiński is recipient of the EURO Gold Medal (1991), and Doctor Honoris Causa of six universities: Faculté Polytechnique de Mons (2000), Université Paris Dauphine (2001), Technical University of Crete (2008), Nanjing University of Aeronautics and Astronautics (2018), Hellenic Mediterranean University in Heraklion (2022), and University of West Attica in Athens (2024).

　　In 1997 he was given the Edgeworth-Pareto Award by the International Society on Multiple Criteria Decision Making and in 2005 he received the Annual Prize of the Foundation for Polish Science - regarded as the highest scientific honor awarded in Poland. In 2016, he received the Scientific Award of the President of the Polish Academy of Sciences. In 2020, Roman Słowiński was honored with the Scientific Award of the Prime Minister of Poland for creating a scientific school of Intelligent Decision Support Systems. In 2021, he got the Richard Price Award in Data Science from the International Academy of Information Technology and Quantitative Management. In 2022, he received the Humboldt Research Award by Alexander von Humboldt Foundation. 

　　He was awarded Fellow grade by IEEE (the Institute of Electrical and Electronics Engineers - 2017), IRSS (International Rough Set Society - 2015, INFORMS (the Institute for Operations Research and the Management Sciences - 2019), IFIP (International Federation for Information Processing - 2019), IFORS (International Federation of Operational Research Societies - 2022), IAITQM (International Academy of Information Technology and Quantitative Management - 2022), AAIA (Asia-Pacific Artificial Intelligence Association - 2022), and AIIA (International Artificial Intelligence Industry Alliance - 2024.

　　The society of the 19th century Polish positivist Hipolit Cegielski gave him the title of “Outstanding Personage of Organic Work” (2017), and the City Council of Poznań awarded him the title of “Distinguished Citizen of the City of Poznań” (2018). In 2022, he was promoted by the Prime Minister of France to the rank of "Officier dans l'Ordre des Palmes Academiques" ("Order of Academic Palms"). In 2024, in a competition organized by EURO, he and his co-authors received the Best EJOR Paper Award in the Theory & Methodology category.

　　Since 1999, he is Coordinating Editor-in-Chief of the European Journal of Operational Research (Elsevier, CiteScore=11,9), a premier journal in Operations Research. In years 1998-2003, he was editor of Decision Analysis Section of the International Journal on Fuzzy Sets and Systems. He advises on editorial board of twenty scientific journals. He is coordinator of the EURO Working Group on Multiple Criteria Decision Aiding, Past President of the INFORMS Section on MCDM, and Past President of the International Rough Set Society. Moreover, in years 2009-2013, he has been an expert of the ERC panel (PE6 Computer Science).

　　Social activities: Since 2006, he has been a member of the Social Council at the Archbishop Metropolitan of Poznań; from 2006 to 2010, he was a member of the first Polish Council of the Aid to the Church in Need Association.

附：相关代表性论文

　　Y. Zhao, Z. Gong, G. Wei, R. Słowiński, Consensus modeling with interactive utility and partial preorder of decision-makers, involving fairness and tolerant behavior. Information Sciences, 638 (2023) 118933.

　　M. Szeląg, R. Słowiński, Explaining and predicting customer churn by monotonic rules induced from ordinal data. European Journal of Operational Research, 317 (2024) no.2, 414-424.

　　J. Błaszczyński, B. Prusak, R. Słowiński: Multi-objective search for comprehensible rule ensembles. In: V. Flores et al. (eds.): IJCRS 2016, LNAI 9920, Springer, Berlin, 2016, pp. 503-513.

　　Library ruleLearn and application RuLeStudio：https://sites.google.com/view/mszelag/software