PhD and Master students, Post Doc Position
University of Regina
Research opportunities in Artificial Neural Network Modeling of brain dynamics (chaotic patterns, coordinated function, etc.)
PhD and Post-Doc positions in LUCID - University of Nottingham, UK
University of Nottingham
LUCID, the Lab for Uncertainty in Data and Decision Making is looking for PhD students and postdocs in data fusion, fuzzy set based modelling and machine learning.
Current opportunities focus in particular on research and applications in the cyber security domain, working with partners including the UK NCSC and major collaborators from the financial industry.
Strong applicants with a range of backgrounds, including but limited to Computer Science are encoured to apply as positions can provide an interdisciplinary focus.
Please send a complete CV and a short cover letter/email to Christian Wagner, christian.wagner@nottingham.ac.uk
Link:
http://lucidresearch.org
Postdoctoral positions at AC3E, Chile
AC3E - Advanced Center for Electrical and Electronic Engineering
The Advanced Center for Electrical and Electronic Engineering - AC3E - was created on 2014 to group individual research efforts into multi- and inter-disciplinary teams and focus research towards industry related problems to spark innovation. The Center is part of Universidad Técnica Federico Santa María - UTFSM - one of the most prestigious universities in Chile and Latin America in the area of science, technology, and engineering. AC3E is offering up to three postdoctoral fellowships in the following lines of research of the Center: Signals and Systems, Renewable Energy and Power Conversion, Robotics, Electrical Systems, and Data Analytics and Computational Intelligence.
More info at the email or in the link indicated in this publication:
https://files.acrobat.com/a/preview/855dd30c-163e-4d38-a7a4-ab1be2dc6ce7
Link:
http://www.ac3e.cl
Postdoc/research engineer in statistical learning and high-dimensional data analysis in Normandy, France
Lab of mathematics Raphaël Salem UMR CNRs
https://chamroukhi.users.lmno.cnrs.fr/ASTERICS/AStERiCs-PostDoc:IGR-LMRS.pdf
Link:
https://chamroukhi.users.lmno.cnrs.fr/ASTERICS/AStERiCs-PostDoc:IGR-LMRS.pdf
Postdoc in Evolutionary Robotics, EPFL Switzerland
EPFL
The EPFL Laboratory of Intelligent Systems (Prof. Dario Floreano, http://lis.epfl.ch) invites applications for a postdoctoral position on evolution of learning for open-ended adaptation in changing environments. The algorithms will be validated in soft robotic systems with modular and morphing properties. Applicants should have a strong publication record in evolutionary algorithms, neural networks, and/or evolutionary robotics. The position is available immediately and will stay open until a suitable candidate is found.
To apply please send an email to Dario.Floreano@epfl.ch with a CV, cover letter, contact of two references, and full list of publications with copy of 2-3 most representative ones.
I will be at WCCI 2018 from Monday to Thursday included. My plenary talk on Evolutionary Robotics is on Thursday.
Link:
Lis.epfl.ch
Postdoc, Grad student, Sabbatical visitor, must have excellent research and writing skills
Missouri University of Science and Technology
Also see the topic: Multidisciplinary Research Opportunities.
Description:
The Applied Computational Intelligence Laboratory (ACIL) at Missouri University of Science and Technology invites applications for research positions in several disciplines related to neural networks. In electrical or computer science and engineering or statistics, applications should be for Ph.D. students or postdoctoral fellows. In philosophy, the applicants must be postdoctoral fellows. In psychology, applicants must be M.S. students. Sabbatical visitors with support from their home institution or country are welcome. All candidates must have excellent research skills and English skills as evidenced by a strong publication record for their career stage. The ACIL has performed leading research in neural networks for a quarter century and is growing rapidly. Our students and visitors have gone on to develop exceptional careers. Contact Donald C. Wunsch II, dwunsch@mst.edu, for more info.
two PhD student positions
Mälardalen University (Sweden)
The need for high-performance computing is increasing at a daunting pace. Computational heterogeneity is the answer. High-performance computing platforms are increasingly becoming heterogeneous, meaning that they contain a combination of different computational units such as CPUs, GPUs, FPGAs, and AI accelerators.
The overall goal of the recently funded project HERO (Heterogeneous systems: software-hardware integration) is to provide a framework that enables model-based development of optimized parallel software, automatic mapping of software to heterogeneous hardware platforms, and provision of automatic hardware acceleration for the developed software.The project will be carried out in cooperation with 5 Swedish industrial partners (Alten, Arcticus, Enea, Unibap, and Volvo).
Salary: 28000 SEK/month
HERO is divided in three distinct sub-projects (SP):
SP1: Model-based development and resource analysis of parallel software,
SP2: Static code-level resource analysis, and
SP3: Automatic generation of hardware accelerators.
The first PhD student position will focus on modeling and analysis issues, linking SP1 and SP2. The position is in the intersection of model-based software engineering and formal analysis. The second position will focus on analysis, design and synthesis issues linking SP2 and SP3. The position is in the intersection of compilation, and software-hardware co-design.
Link:
http://www.mdh.se/hogskolan/jobb/lediga-jobb-1.103104
Postdoc in heterogeneous computing for deep learning
Mälardalen University (Sweden)
Mälardalen University is looking for a postdoc in the field of heterogeneous computing for deep learning in automation and robotics. The position will be within the research project “DeepMaker – Deep Learning Accelerator on Commercial Programmable Devices”. DeepMaker aims to provide a framework which generates synthesizable accelerators of Deep Neural Networks (DNNs) that can be used for different FPGA fabrics. DeepMaker enables optimization and effective use of DNN acceleration in commercially available devices that can accelerate a wide range of applications without the need for costly FPGA reconfigurations. This will be accomplished through close collaboration and interaction between two research groups at MDH and 3 participating industrial companies. DeepMaker is hosted at MDH in the Embedded Systems (ES) research environment. ES is an internationally leading environment in embedded-systems research and host 14 research groups with over 100 researchers, focusing of various aspects of development of embedded systems.
As a postdoc, you will spend a minimum of 80% of your time on research. The rest will be spent on educational and/or administrative duties. The temporary employment is valid for 1 year with possible extension to additional year. This position may lead to a longer period and possibly to assistant professor if s/he integrates well to the group.
Salary: 33000 SEK/month
Link:
http://www.mdh.se/hogskolan/jobb/lediga-jobb-1.103104?l=sv_SE&rmpage=job&rmjob=263
Posdoctoral Researcher & Lead Scientist in the United Kingdom
University of Essex & Cognitran Ltd
Machine Learning Data Scientist at University of Essex.
Duration: 36 months. Full Time.
Location: Chelmsford (30 minutes from London).
Salary: £30.500 - £33.500
The Project
The University of Essex in partnership with Cognitran Ltd offers an exciting opportunity to a graduate to utilise machine learning to analyse vehicle data and provide automotive OEMs with tools to predict failures and facilitate faster repairs, leading to cost savings and improved customer satisfaction. This post is fixed term for 36 months and is based at Cognitran’s offices in Hatfield Peverel, Essex.
Link to the job opportunity:
https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=915840H0at&WVID=9918109NEm&LANG=USA
Link:
https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=915840H0at&WVID=9918109NEm&LANG=USA
Lead Data scientist in the United Kingdom
Liverpool John Moores university and LivingLens
Departments of the Computer Science, Faculty of Engineering and Technology, Liverpool John Moores University in partnership with LivingLens Ltd.
Lead Data Scientist (KTP Associate) 28 months fixed term
Salary range £35,000-£40,000 per annum dependent on experience. Plus a personal training budget to help your career, as well as management and leadership training provided as part of the KTP.
This is a 28 months fixed term post based at the LivingLens premises in Liverpool but employed by Liverpool John Moores University.
Link:
https://jobs.ljmu.ac.uk/vacancy/lead-data-scientist-ktp-associate-28-months-fixed-term-356404.html
Postdoc position in computer engineering
Universidade de Pernambuco
The Post-Graduation Program in Computer Engineering (PPGEC) of the Escola Politécnica at the Universidade de Pernambuco, Brazil, come hereby invite PhDs in the research areas of computational intelligence, pattern recognition, software engineering or other related courses to candidate themselves to a postdoctoral scholarship.
The postdoc fellow will join teaching and research activities and will have available the structure provided to members of PPGEC, including laboratories, research room, library, high-performance servers, among others.
The current value of the scholarship is worth R$4,100.00 (BRL) and has a duration between 6 months and 4 years. The candidate must agree to start on the current semester.
Details can be obtained inhttp://www.capes.gov.br/bolsas/bolsas-no-pais/pnpd-capes
Those interested should send an e-mail with proof of completion of doctoral and resume to
bjtf@ecomp.poli.br with the title [PNPD].
Tenure-track professor, research assistant professor, postdoc positions at Southern University of Science and Technology (China)
Tenure-track Southern University of Science and Technology (China)
Tenure-track professor, research assistant professor, postdoc positions at Southern University of Science and Technology (SUSTech), Shenzhen, China. The Department of Computer Science and Engineering is led by prof Xin Yao.
All teaching in English at SUSTech.
Link:
http://cse.sustc.edu.cn/en/
Post-doc & lecturer in Computational Intelligence for design, manufacture or Industry 4.0
Dongguan University Of Technology, China
1. 博士后（中国两年制、35 岁以下）实行双地、双导师制，证书由合作伙伴（电子 科技大学、西安交通大学、华南理工大学）颁发，年薪达 ¥73 万元，其中：
东莞理工学院提供 ¥38 万元或 ¥43 万元岗位年薪（根据有无 1 区期刊文章等确定）
世界前 200 名大学毕业的博士还可获得额外¥60 万元（两年一次性补贴）
引进的博士或出站后留校的博士后，将分别获得不少于 10 万元、20 万元的生活补贴；对 国（境）外引进博士和博士后另给 10 万元生活补贴（世界前 200 名大学毕业的，还将获得 ¥40 万元的住房补贴）
2. 工程师、教师及高层次人才, 包括学科骨干、副教授、教授（基础年薪分别为 40、 60、80 万元，住房补贴 60、100、150 万元 - 详见 http://www.dgut.edu.cn）
Link:
http://www.i4ai.org/work_with_us/
RMIT Vice Chancellor Postdoctoral Fellowship
RMIT University
Opening soon: The 2018 Vice-Chancellor’s Postdoctoral Fellowships is a competitive scheme for researchers within five years post PhD.
Awardees are selected on the basis of their emerging track record and potential to develop into independent researchers who can undertake high quality research in one of RMIT's research priority areas.
What's included (based on the 2017 scheme):
Successful applicants receive:
- a Vice-Chancellor’s Postdoctoral Fellowship for three years
- 100% of salary and on-costs for a period of three years
- $10,000 per annum research support funding for three years
- an opportunity to significantly build their research track record and reputation, supported by training, development and mentorship.
What you will do:
Postdoctoral Fellows engage in high-quality research projects and produce high-quality outputs. Fellows will carry out team based research projects, which will make a significant impact in the area of their specialisation and be influential in expanding the knowledge of their relevant discipline.
Our Fellows are located within the University’s academic Schools and aligned to one of RMIT’s eight Enabling Capability Platforms.
About RMIT Computer Science:
RMIT CS is one of the top 100 Computer Science schools globally (according to QS ranking based on CS discipline). We are globally known for our world-class research in big data processing and analysis, Information retrieval, knowledge discovery, and AI, machine learning, and optimisation. RMIT was the co-host of IJCAI 2017.
For more info go to:
https://www.rmit.edu.au/research/research-expertise/our-reputation/people/our-research-fellows/outstanding-research-fellows/vice-chancellors-postdoctoral-fellows
Link:
https://www.rmit.edu.au/research/research-expertise/our-reputation/people/our-research-fellows/outstanding-research-fellows/vice-chancellors-postdoctoral-fellows
Post-doc Researcher in Machine Learning at UFPel
Federal University of Pelotas (UFPel)
We have a post-doc researcher position to be open, starting around September 2018. The researcher will have the opportunity to work with the CS Graduate Program (Masters and PhD) at Federal University of Pelotas, Rio Grande do Sul, working with Machine Learning but also interacting with other areas within the Program.
The monthly stipend is of R$4.100,00 and the contract can be held for up to 5 years.
Pelotas is a medium-sized (300k population) city at the southern part of Brazil. Known for its Portuguese sweets and cultural heritage, the historic city is a gateway to Mercosul and offers a calm, high-culture, diverse environment. Easily accessible either by roads or flights to its international airport.
Those interested in receiving details when the position opens, contact us.
Link:
Http://inf.ufpel.edu.br
HPC Analytics Research Scientist
Arm
Arm Research is looking for new PhD graduates and early career professionals to conduct research in high performance analytics applications, algorithms and co-design of purpose driven accelerators. If you join the Arm Research team, you will collaborate with colleagues in Arm, academia, government, and industry to generate ground breaking new algorithms, applications and architectures that will fundamentally change how insights from massive static and dynamic data sets are derived. Collaborations will include domain experts in ML, cybersecurity, IoT, health care, and more.
Education & Qualifications
PhD in Computer Science and Engineering.
Skills & Experience
-Ability to express ideas and communicate effectively (essential).
-Experience in Tensor and Graph analytics (essential).
-Experience in High Performance Computing (desirable).
-Experience in machine learning and neural networks (aspirational)
Link:
https://careers.peopleclick.com/careerscp/client_arm/external/gateway.do?functionName=viewFromLink&jobPostId=37390&localeCode=en-us
Senior Machine Learning Research Scientist
Arm
The Arm Research machine learning research group in Boston collaborates with product teams to deliver industry leading hardware and software solutions to Arm’s partners. The team also works closely with leading academic and other machine learning research groups to ensure incorporation of the latest technology into new and existing Arm products, from IoT and mobile devices through to automotive and enterprise systems.
We are looking to add exceptional researchers to the Boston Machine Learning research group with specific responsibilities for the following:
* Identifying key machine learning technologies, and resolving how they’ll impact Arm products and partners
* Developing and adapting machine learning algorithms for energy constrained mobile and wearable devices
* Collaborating with Arm product teams to influence new hardware and software IP
* Advancing the state of the art in areas: natural language processing, computer vision, sensor fusion, object tracking, and motion planning
* Prototyping hardware and software solutions
* Attending conferences and collaborating with academic partners
* Reporting and presenting experimental results and research to internal and external organizations
Please apply via Arm Careers. Opportunities for Senior ML Research Scientist are also available in Austin, TX, and for Post-doc/PhD ML Researchers in both Boston and Austin.
Link:
https://careers.peopleclick.com/careerscp/client_arm/external/jobDetails.do?functionName=getJobDetail&jobPostId=35364&localeCode=en-us
Data Scientist
Expedia
The London hotels.com Data Science team is growing! We are looking for a high caliber Data Scientist to help us revolutionize how we use data to improve the travel experience for our customers (recommender systems, NLP & text mining, computer vision, …)
Join us if:
You are excited to make a positive impact on how travelers plan and book their perfect trip
You want to be part of team of passionate, smart, hard-working travel enthusiasts
You thrive in environment where you have the freedom, scope, and responsibility to find innovative ways to make a difference in our business
The Role:
Apply advanced techniques from machine learning, data mining or statistical modeling to design and implement mathematical models and algorithms to solve real-world optimization problems
Develop analytical insights through assumption testing and sensitivity analysis and perform complex data analysis and financial modeling to support business case development
Required Skills & Experience:
2-3 years of professional experience in data scientist role especially in online marketing
MSc/Phd required in highly quantitative field like Economics, Mathematics, Statistics, Physics, Machine Learning/AI
Experience with statistics/machine learning packages such as R, Python (scikit-learn, pandas), SparkML, SAS etc.
Self-starter and results orientated, able to work under minimal guidance
Excellent written and oral communication skills, including an ability to communicate across business areas
Lecturers
Derby University
Prof. Antonio Liotta are hiring three research-intensive lecturers (permanent positions) in Artificial Intelligence, Data Mining, and Network Science at the Data Science Research Centre, Derby University, UK.
Salary: £31,604 to £38,833 per annum
The post holders will have access to the resources of the centre (PhD studentships, equipment, travel budget, open-access, and publication funds) and will be given a light teaching load for the first two years, to ensure a swift academic start.
Please contact Prof. Antonio Liotta or directly apply online.
Link:
https://jobs.derby.ac.uk/Vacancy.aspx?ref=0050-18-R2
Development of deep and kernel methods for structured domains
University of Padova, Italy
This is a one year post-doc under the supervision of prof. Alessandro Sperduti for the development of new techniques of machine learning for structured data (sequences, trees, graphs). Our research group has many years of expertise on these topics. There is the possibility of continuation after this contract. Please contact me if you are interested so we can meet at the conference and have a chat.
Developer in a R&D project with Petrobras
Smart Surveillance Interest Group (DCC/UFMG)
The Smart Surveillance Interest Group (DCC/UFMG) is looking for developers to work on a Research and Development project in partnership with Petrobras S.A.
The applicant will work on the development of a distributed, scalable smart video surveillance system with real-time requirements using cutting-edge technologies to provide a high-performance system able to analyze the scene and provide a secure environment to the workers.
We are hiring in the CLT regime with salary compatible with market standards, to work in Belo Horizonte city.
Link:
www.ssig.dcc.ufmg.br
2 Postdoc positions shared between Yale University and Royal Holloway University of London
Yale University and Royal Holloway University of London
Applications are invited for postdoctoral positions to work on a joint research project between the labs of Alberto Paccanaro, Dept. of Computer Science at Royal Holloway University of London and the lab of Mark Gerstein, Program in Computational Biology & Bioinformatics at Yale University.
The postdocs will work with Alberto Paccanaro and Mark Gerstein on developing novel approaches to predict phenotypes associated with various genes and variants. However, NO PREVIOUS KNOWLEDGE OF BIOLOGY IS REQUIRED.
The successful candidates will also have the opportunity to work with the lab of Alberto Paccanaro and Mark Gerstein on other projects in the area of Systems Biology and Network Medicine – please see Paccanarolab.org and Gersteinlab.org for a description of the research carried out in the labs.
The posts are ideal for someone with a computer science or maths background who is looking to move into computational biology.
Candidates should have a Ph.D. in a relevant quantitative field (e.g. Computer Science, Statistics, Engineering), a strong background in machine learning and a keen interest in computational biology. Previous experience in the areas of graph-based semi-supervised learning methods and/or recommendation systems and/or graphical models would be an asset for these positions.
Successful candidates will divide their time between London and New Haven. The Department of Computer Science is located on Royal Holloway's pleasant campus in Egham, just outside London (royalholloway.ac.uk). Yale is located in New Haven, CT (yale.edu).
The positions are for 3 years, beginning as soon as possible.
Alberto Paccanaro is attending the IJCNN conference. Please contact him at alberto.paccanaro@rhul.ac.uk to arrange a meeting during the conference.
Link:
www.paccanarolab.org www.gersteinlab.org
Postdoc position
KNU-LG Convergence research center
Deep learning, machine learning, neural network
Link:
abr.knu.ac.kr
Assistant Professor in Artificial Intelligence and Data Analytics in Healthcare
Eindhoven University of Technology, the Netherlands
Five year development track assistant professor position at the School of Industrial Engineering. Knowledge of computational Intelligence techniques is an advantage. Contact Prof. U. Kaymak for further information.
2 PhD positions hearing
Ghent University, GASP / WAVES research groups
The first PhD position is part of the ERC project RobSpear: “Robust Speech Encoding in Impaired
Hearing” that takes an interdisciplinary approach (combining auditory models with EEG,
psychoacoustics and machine-learning) to study sound processing in listeners with impaired
hearing. You will be part of an international team of 5 researchers with different backgrounds to develop signal-processing strategies for hearing aids of the future. Aside from signal-processing, behavioral sound perception and/or EEG experiments with normal and hearing-
impaired listeners is expected as part of this project.
The second PhD is related to a very recently funded project that will employ portable EEG and computational intelligence for early detection of noise induced hearing damage.
Funding is available for 4 years provided positive intermediate evaluations.
Link:
http://gasp.ugent.be and http://waves.intec.ugent.be
3 Postdoctoral fellowship
AC3E
The Advanced Center for Electrical and Electronic Engineering, AC3E, is focused in multidisciplinary research towards industry related problems to spark innovation.
AC3E is offering 3 Postdocs in the following lines of research: signals and systems, renewable energy and power conversion, robotics, electrical systems and data analytics and computational intelligence.
Link:
http://www.ac3e.cl/index.php/en/information/item/596-ac3e-offers-postdoctoral-positions
Post doc position : Fuzzy expert system for process optimization
CEA List
In this project, we want to optimize the development of Vacuum Deposition processes of innovative materials in thin films. This is a long and tedious work conducted by experts in order to characterize the properties of thin films for a given application.
To set up the expert system, we will model the knowledge of these experts and we will use data obtained from experiments that are currently ongoing.
The modeling will highlight the links between the design parameters and the properties of the obtained materials.
The laboratory is in Saclay, Paris region, France.
Link:
Http://www.cea.fr
PhD Scholarship in Machine Learning Methods for Cognitive Neuroscience in the United Kingdom
University of Essex
Location: Colchester Essex
Institution: Univerisity of Essex
Funding: £14,777 a stipend equivalent to the Research Councils UK National Minimum Doctoral Stipend (£14,777 in 2018-19)
Full Time
Project:
Faculty of Science and Health Studentship – for start date of January 2019
The Schools of Computer Science and Electronic Engineering and Psychology in the Faculty of Science and Health at the University of Essex is pleased to announce a PhD studentship available for the multidisciplinary project “Online interpretable real-time EEG analytics for the rapid interpretation of brain processes, clinical diagnosis and disease management”.
This studentship will start from 14 January 2019 and the successful applicant will receive a scholarship for three years (subject to satisfactory progression).
Link:
https://www.jobs.ac.uk/job/BKJ187/phd-studentship-machine-learning-methods-for-cognitive-neuroscience/
Two funded Ph.D. positions
Loughborough University
Two funded Ph.D. positions are available at the Computer Science Department, School of Science, Loughborough University, UK, on the topics of the evolution of lifelong learning in neural networks.
Research. The aim is to develop new neuroevolution algorithms for lifelong learning. The objectives are to devise machine learning systems that autonomously adapt to changing conditions such as variation of the data distribution, variation of the problem domain or parameters, with minimal human intervention. The approach will use neuroevolution, neuromodulation, and other methodologies to continuously discover and update learning strategies, implement selective plasticity, and achieve continual learning.
For an overview of the research direction, see the paper: Born to Learn: the Inspiration, Progress and Future of Evolved Plastic Artificial Neural Networks https://www.researchgate.net/publication/315710249_Born_to_Learn_the_Inspiration_Progress_and_Future_of_Evolved_Plastic_Artificial_Neural_Networks
Application areas include a variety of automation and machine learning problems, e.g. vision, control, and robotics, with a particular focus on resilience and autonomy.
Working environment. The Ph.D. students, based at the Computer Science Department, will work in an international team with opportunities for collaboration and travel to prestigious universities in the US and EU. They will have access to a number of robotic platforms such as mobile and flying robots, manufacturing robots, High-Performance Computing clusters, and GPU computing. The Computer Science Department and robotics laboratories have ongoing collaborations with large industries and programs to promote start-ups.
Loughborough University is ranked 7th in the UK in the 2019 League Table Ranking http://www.thecompleteuniversityguide.co.uk/loughborough/performance ), and is located in Loughborough, a town well connected to London by a 1h20m journey by train.
Requirements. The ideal candidates hold (or are about to obtain) a first-class honour undergraduate/postgraduate degree (or equivalent) in Computer Science, Mathematics, Statistics, Electrical or Electronic Engineering, or have authored publications in recognised conferences/journals. Independent working skills are valued as well as the capability of working in a team. Collegiality and interpersonal skills are essential.
Excellent English language skills are also essential (see requirements here http://www.lboro.ac.uk/international/englang/index.htm)
Period and salaries.
Scholarship: £14,777 per annum plus tuition fees at the UK/EU rate.
Start: September 2018 or shortly after.
Duration: 3.5 years.
Enquiries and applications. Interested candidates are invited to send preliminary enquiries to a.soltoggio@lboro.ac.uk including a CV, a university transcript of marks, a list of references, and a statement of about 300 words motivating their interest in this area of research.
Postdoc position
Loughborough University
A postdoc position on the topic of evolving lifelong learning machines is available at Loughborough University (UK) for an exciting international project. Please get in touch if you want to find out more.
Link:
https://www.jobs.ac.uk/job/BKW361/research-associate/
Senior Data Scientist - Advanced Analytics
McKinsey & Co
Senior Data Scientist - Advanced Analytics Consultant
Link:
https://www.mckinsey.com/careers/search-jobs/jobs/senior-data-scientist-advanced-analytics-7927
Postdoc position
KNU-LG convergence research center
Deep learning, intelligent chat bot, summarization, QA task based on multi-modal data
Link:
abr.knu.ac.kr
