院校简介

挪威公立大学阿哥德大学（挪威文为Universitetet i Agder）,原名阿哥德学院（Agder University College），是挪威最大的高等教育机构之一。阿哥德学院于1994年由位于Kristiansand, Grimstad and Arendal市的6所学院合并而成。

The Norwegian public University of Agod (Universitetet i Agder in Norwegian), formerly known as Agder University College, is one of the largest institutions of higher education in Norway. Agod College was formed in 1994 by the merger of six colleges located in the municipalities of Kristiansand, Grimstad and Arendal.

关于职位

阿格德大学工程与科学学院招收机器学习博士后研究员，为期两年，任期100%，隶属于信息通信技术系。该职位目前位于格里姆斯塔校区。开始日期可与学院协商。

A fixed-term 100% position is available at the University of Agder, Faculty of Engineering and Science as a Post-doctoral Research Fellow in machine learning, affiliated to the Department of ICT, for a period of two years. The position is located, at the present, at Campus Grimstad. The starting date is negotiable with the Faculty.

职位职责

该职位与NRC项目“CaReLearner:因果推理与逻辑可解释学习”和人工智能研究中心有关。CaReLearner的目标是实现从相关性驱动到大规模因果关系驱动机器学习的范式转变。在Tsetlin机器的基础上，该项目处理了逻辑工程中未解决的学习挑战，概率因果模型的缩放挑战，以及深度学习的相关依赖。该研究员将有机会开发基于Tsetlin机器的新方法，用于从以关系逻辑表示的多模态数据(图像，时间序列，自然语言，表格数据等)中学习因果知识。

博士后研究员的研究课题包括但不限于:

◆关系型Tsetlin机器用于多模态数据(图像、时间序列、自然语言等)；

◆Tsetlin因果纠错机；

◆因果推理的Tsetlin机器的概率解释。

The position is connected to the NRC project “CaReLearner: Causal Reasoning with Logical Interpretable Learning” and the Centre for Artificial Intelligence Research. The objective of CaReLearner is to enable a paradigm shift from correlation-driven to scaled-up causality-driven machine learning. Building on the Tsetlin machine, the project deals with the unresolved learning challenge in logical engineering, the scaling challenge of probabilistic causal models, and the correlation-reliance of deep learning. The fellow will get the opportunity to develop novel Tsetlin machine-based approaches for learning causal knowledge from multimodal data (images, time series, natural language, tabular data, etc.), expressed in relational logic.

Research topics for the Post-doctoral Research Fellow include, but are not limited to the following:

◆Relational Tsetlin machine for multimodal data (images, time series, natural language, etc.)

◆Causal Tsetlin machines

◆Probabilistic interpretation of Tsetlin machines for causal inference

能力要求

申请人应具有相关领域(如机器学习、人工智能、数据挖掘)的博士学位。要考虑该职位，申请人必须在公告截止日期前提交博士论文。博士后研究员、研究员、研究员助理、住校生等岗位的具体规定见《博士后研究员、研究员、研究员、住校生等岗位聘用条件规定》。

此外，申请人必须具备:

◆相关学历

◆英语读写熟练

◆沟通和团队合作能力

理想的候选人将具有以下领域的专业知识:

◆机器学习

◆概率推理

◆Python, CUDA和/或C/ c++编程

The successful applicant should hold a PhD in a related field (e.g. machine learning, artificial intelligence, data mining). To be considered for the position, the applicant must have submitted their PhD thesis by the closing date of the announcement.

Further provisions relating to the positions as Post-doctoral Research Fellows can be found in the Regulations Concerning Terms and Conditions of Employment for the post of Post-Doctoral Research Fellow, Research Fellow, Research Assistant and Resident.

Furthermore, the applicant must have:

◆Relevant academic credentials

◆Written and spoken English proficiency

◆Communication and teamwork skills

The ideal candidate will have expertise in the following areas:

◆Machine learning

◆Probabilistic reasoning

◆Programming in Python, CUDA, and/or C/C++

申请方式

如有意向申请，请以将下列信息发送至邮箱

info@zhengzicn.com

以下文件必须以电子方式上传:

◆职系证书

◆刊物一览表

◆的博士论文

◆候选人希望在评估过程中特别强调的10篇学术文章和研发项目

◆描述申请人的研究兴趣，申请人希望研究的论文问题的背景，以及与广告职位的相关性。与作业设计有关的相关研究的简要概述和研究的相关问题也应包括在这里

◆项目计划

◆其他相关文件

申请人有责任在截止日期前提交完整的数字文件。所有文件必须以斯堪的纳维亚语言或英语提供。

申请截止日期:2023年11月19日

If you are interested in applying, please send the following information to the 

info@zhengzicn.com

The following documentation must be uploaded electronically:

◆Certificates with grades

◆List of publications

◆Doctoral thesis

◆Up to 10 academic articles and R&D projects which the candidate wishes to particularly emphasise for the assessment process

◆A description of the applicant’s research interests, the background for the thesis question that the applicant wishes to work on, and its relevance for the advertised position. A brief overview of relevant research pertaining to the design of assignments and relevant issues for research should also be included here

◆Project plan

◆Any other relevant documentation

The applicant is fully responsible for submitting complete digital documentation before the closing date. All documentation must be available in a Scandinavian language or English.

Application deadline: 19.11.23