阿格德尔大学PhD position in Vision-Language Models in Remote Sensing申请条件要求-申请方
主办方
阿格德尔大学
PhD直招介绍
About the position
A fixed-term 100% position is available at the University of Agder, Faculty of Engineering and Science( https://www.uia.no/english/about-uia/faculty/engineering-and-science/index.html ) as a PhD Research Fellow in Vision-Language Models in Remote Sensing, affiliated to the Department of Information and Communication Technology( https://www.uia.no/english/about-uia/faculty/engineering-and-science/ict/index.html ), for a period of three years. The position is located, at the present, at Campus Grimstad. The starting date is negotiable with the Faculty.
Responsibilities
Vision-language models achieve outstanding performances in recognizing objects in an image, inferring their relationships, and generating image descriptions in natural languages. They're ideal for tasks like image captioning, text-based image retrieval, and visual question answering. Their application in remote sensing for semantic understanding of objects and relationships is a growing research field. This is an exciting opportunity to contribute to the development of new vision-language models at the frontiers of remote sensing. Research topics for the PhD Research Fellow include, but are not limited to the following:
The ideal candidate will have expertise in five or more of the following:
Vision-Language Models (VLMs), multimodal AI, or transformers
Image segmentation, object detection, or scene understanding
Familiarity with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR)
Computer Vision
Natural Language Processing
Remote Sensing
Machine Learening and Deep Learning
Reinforcement Learning
Large Language Models
Proficiency in Python and deep learning frameworks (PyTorch/TensorFlow)
On top the candidate with two or more of the following will be an added advantage:
Ability to conduct independent research and publish in top-tier venues
Good written and oral communication skills in English
Prior publications or research experience in AI, remote sensing, or multimodal learning are beneficial
General information
UiA is an open and inclusive university. We believe that diversity enriches the workplace and makes us better. We, therefore, encourage qualified candidates to apply for the position independent of gender, age, cultural background, disability or an incomplete CV.
Women are strongly encouraged to apply for the position.
The successful applicant will have rights and obligations in accordance with the current regulations for the position, and organisational changes and changes in the duties and responsibilities of the position must be expected. The engagement is to be made in accordance with the regulations in force concerning the acts relating to Control of Export of Strategic Goods, Services and Technology( https://www.uia.no/english/about-uia/acts-and-regulations/export-control.html ).
Appointment is made by the University of Agder’s Appointments Committee for Teaching and Research Positions. A background check( https://www.uia.no/intranett/english/work-support/responsible-international-cooperation/international-recruitment-and-visiting-researchers.html ) may be conducted to verify information that appears in available documents. Background checks are always done with the applicant's consent, and employment in the position requires an approved background check. Relevant applicants will receive further information.
Short-listed applicants will be invited for interview. With the applicant’s permission, UiA will also conduct a reference check before appointment. Read more about the employment process( https://www.uia.no/english/about-uia/working-at-uia/appointment-process.html ).
In accordance with the Freedom of Information Act § 25 (2), applicants may request that they are not identified in the open list of applicants. The University, however, reserves the right to publish the names of applicants. Applicants will be advised of the University’s intention to exercise this right.
Creating knowledge together
When people who are committed come together to further knowledge, anything is possible.
The University of Agder combines the unique warmth and charm of Southern Norway with first-class scientific, technological and artistic expertise.
Would you like to work with us to create better solutions to our shared challenges?
University of Agder
Universitetet i Agder har over 1500 ansatte og nesten 14 000 studenter. Det gjør oss til en av Sørlandets største arbeidsplasser. Våre ansatte forsker, underviser og formidler kunnskap fra alle sine fagområder.
Universitetet holder til på to moderne campuser i Kristiansand og Grimstad.
阿格德尔大学 PhD position in Vision-Language Models in Remote Sensing项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
We offer
Professional development in a large, exciting and socially influential organisation
A positive, inclusive and diverse working environment
Modern facilities and a comprehensive set of welfare offers
Membership of the Norwegian Public Service Pension Fund
( https://www.spk.no/en/the-value-of-the-membership/ )
More about working at UiA. ( https://www.uia.no/english/about-uia/working-at-uia/ )
The position is remunerated according to the State Salary Scale, salary plan 17.515, code 1017 PhD Research Fellow, NOK 550 800 gross salary per year. A compulsory pension contribution to the Norwegian Public Service Pension Fund is deducted from the pay according to current statutory provisions.
阿格德尔大学Phd申请条件和要求都有哪些？PhD position in Vision-Language Models in Remote Sensing项目是不是全奖？有没有奖学金？下面我们一起看一下阿格德尔大学申请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
Required qualifications
Master’s degree in Information and Communication Technology (ICT), Computer Science, Artificail Intelligence, Machine Learning, Data Science, Electrical and Computer Engineering, or a similar/related field and documented competence in areas relevant to the position. Candidates who are in the final stage of the master’s education within the relevant field may also be considered, given that a master’s degree is to be achieved before the enrollment of this position. Applications from applicants who already hold a PhD will normally not be considered.
Strong academic credentials
The ideal candidate will have technical expertise in five or more of the following areas:
Vision-Language Models (VLMs), multimodal AI, or transformers
Image segmentation, object detection, or scene understanding
Familiarity with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR)
Computer Vision
Natural Language Processing
Remote Sensing
Machine Learening and Deep Learning
Reinforcement Learning
Large Language Models
Proficiency in Python and deep learning frameworks (PyTorch/TensorFlow)
Written and spoken English proficiency. International candidates that are not exempt from the English language requirements pursuant to the guidelines of the Norwegian Agency for Quality Assurance in Education (NOKUT) must document this through one of the following tests with the stated results or better:
TOEFL - Test of English as a Foreign Language with a minimum score of 600 for the Paperbased Test (PBT), or 92 for the Internet-based Test (iBT)
IELTS - International English Language Testing System, with the result of 6.5
Applicants will be assessed on the basis of academic background and results, attainment, and any previous research and development work.
Criteria for positions as PhD Research Fellow( https://lovdata.no/dokument/SF/forskrift/2024-06-28-1392/KAPITTEL_3-4#%C2%A73-19 ) (in Norwegian).
Desired qualifications
Publication track record in Q1 journals specialising on Remote Sensing and Artificial Intelligence
Personal qualities
Ability to work independently and proactively for goal-oriented research.
Have good teamwork skills and inventiveness.
Close working relationships with both the industrial and academic partners.
Good analytical skills.
Good written and verbal communication skills in an academic setting.
Personal qualities and suitability for the position will be emphasised.
报名方式
申请链接
联系人
姓名：Linda H. Kristiansen
邮箱：linda.h.kristiansen@uia.no
电话：+47 48 14 06 09
招生人信息
Turgay Celik,Linga Reddy Cenkeramaddi
Professor Email:
turgay.celik@uia.no
linga.cenkeramaddi@uia.no
电话：+47 37 23 33 35
+47 37 23 34 36
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