【学界招聘|信息】CFP-Computational Optimization | Deep Learning 等学术职位

【学界招聘|信息】CFP-Computational Optimization | Deep Learning 等学术职位

本文首发于『运筹OR帷幄』微信公众号:【学界招聘|信息】CFP-Computational Optimization | Deep Learning 等学术职位

1、11th International Workshop on Computational Optimization (WCO18),Poznan, Poland, September 9-12, 2018

Call for Papers

11th International Workshop on Computational Optimization (WCO18)

Poznan, Poland, September 9-12, 2018

organized in the framework of FEDERATED CONFERENCE ON COMPUTER SCIENCE

AND INFORMATION SYSTEMS

FedCSIS - 2018

IEEE CS is a technical co-sponsor of FedCSIS 2018

fedcsis.org/2018/wco

==========================================

We invite original contributions related to both theoretical and practical aspects of optimization methods. The list of topics includes, but is not limited to:

● Combinatorial and continuous global optimization.

● Unconstrained and constrained optimization.

● Multiobjective and robust optimization.

● Optimization in dynamic and/or noisy environments

● Optimization on graphs.

● Large-Scale optimization, in parallel and distributed computational environments.

● Meta-heuristics for optimization, nature-inspired approaches and any other derivative-free methods.

● Exact/heuristic hybrid methods, involving natural computing techniques and other global and local optimization methods.

The applications of interest are included in the list below, but are not limited to:

◆ Classical operational research problems (knapsack, traveling salesman, etc).

◆ Computational biology and distance geometry

◆ Data mining and knowledge discovery.

◆ Human motion simulations; crowd simulations

◆ Industrial applications.

◆ Optimization in statistics, econometrics, finance, physics, chemistry, biology, medicine, and engineering.

Best paper award:

The best WCO18 paper will be awarded during the social dinner of FedCSIS2018.

WCO18 co-Chairs will select the best paper by taking into consideration the scores suggested by the reviewers, as well as the quality of the given oral presentation.

==========================================

Submission and Publication:

★ Authors should submit draft papers in PDF format.

★ The total length of a paper should not exceed 10 pages for regular paper and 4 pages for short papers (IEEE style). IEEE style templates are available at fedcsis.org/.

★ Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.

★ Accepted and presented papers will be published in the Conference Proceedings and included in the IEEE Xplore database and submitted for different indexations (Communication and Position papers will only appear in the conference proceedings).

★ Extended versions of selected papers presented at WCO18 will be published in edited books of the series "Studies of Computational Intelligence", Springer.

==========================================

Important dates:

Paper submission (sharp / no extensions): May 10th, 2018

Position paper submission: May 15th, 2018

Author notification: June 12th, 2018

Final paper submission and registration: July 03, 2018

Conference date: September 9-12, 2018

==========================================

Organizing Committee:

Stefka Fidanova, Bulgarian Academy of Science, Bulgaria Antonio Mucherino, IRISA, University of Rennes 1, France Daniela Zaharie, West University of Timisoara, Romania. If you have any question, do not hesitate to send an email to wco2018@fedcsis.org

==========================================



2、Special Track on Multi-objective Global Optimization, Leiden, the Netherlands, Sept. 18- Sept. 21, 2018

This is to invite you to submit a paper to the:

Special Track on Multi-objective Global Optimization (MGO) as part of LeGO 2018 - 14th International Workshop on Global Optimization Leiden, The Netherlands, Sept. 18- Sept. 21, 2018, organized by Leiden University and the International Society of Global Optimization.


CFP & submission details see:

liacs.leidenuniv.nl/~cs


Participants are expected to submit 4 page extended abstract. Accepted contributions will be published by AIP, Web of Science Proceedings.

Submission is still open until May 18th 2018. (Acceptance notification June 8th, 2018)

Note: Submission to the special track will be in the same format as to the main track, must be submitted via EASYCHAIR but must also be sent directly (PDF) to iryna AT dmu.ac.uk with subject line [SUBMISSION to LeGO2018 MGO-TRACK].

With best regards,

Iryna

--------------------------------------------------------

Iryna Yevseyeva

PhD, VC2020 Senior Lecturer in Computer Science and Cyber Security

Course Leader: BSc Forensics Computing and BSc Computer Security

School of Computer Science and Informatics, Faculty of Technology

5.33 Gateway House, The Gateway

De Montfort University, LE1 9BH, Leicester, UK

tel: +44 (0)1162577540



3、Three posts in deep learning for action recognition and prediction (Fabio Cuzzolin)

The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking two (2) postdoctoral researchers (36 months) and one (1) research assistant (12months) in deep learning for action recognition and prediction, to start as soon as possible.

The deadline for application is May 20 2018.


The Visual Artificial Intelligence Laboratory has established itself as one of the very top research groups in the world in deep learning for action detection, conducting work at the current boundaries of human action recognition.

Our algorithms hold the best detection accuracies to date, and the team recently designed the only system so far able to localise multiple actions on the image plane in (better than) real time (52fps) on a single GPU.

Our work has won several awards in recent years. The team classified 2nd in both the CVPR 2016 ActivityNet detection challenge and the CVPR 2017 Charades challenge , in collaboration with Disney Research, and behind Deepmind?s team Kinetics. We just published two works in this area at ICCV 2017, and are currently planning a number of PAMI and IJCV journal papers. Some former PhD students in the Lab have moved on to postdoc positions at Oxford, Stanford and ETH Zurich.

You will join a vibrant and fast growing team projected to comprise 18-20 people in 2018. You will be working on a network of cutting edge 4-GPU and 8-GPU workstations. The group collaborates with various companies including Huawei, BMW, NVIDIA, Cortexica and Sportlate, and is in the process of spinning off a company in the area of action detection. We closely work with Oxford Brookes. MOReS and the Cognitive Robotics research groups, as well as Oxford University’ s Torr Vision Group and Computer Science Department, and have established links with IIT Bombay, Harvard, Seoul National, and numerous European partners.


For our current computer vision work, please look at:

cms.brookes.ac.uk/staff


For our recent relevant publications on PAMI, IJCV, BMVC and ICCV please see:

cms.brookes.ac.uk/staff

in particular: arxiv.org/abs/1704.0495

and openaccess.thecvf.com/c


The related code is available here:

github.com/gurkirt/real


The postdocs and research associate will work as part of the Horizon 2020 SARAS project, Smart Autonomous Robotic Assistant Surgeon , of which Prof Cuzzolin is overall Science Officer.


You are encouraged to contact Prof Cuzzolin at fabio.cuzzolin@brookes.ac.uk for more information and informal feedback on your application.


To formally apply, please follow for the 2 PDRA positions: jobs.ac.uk/job/BJJ761/p


For the RA position (12 months) please follow:

jobs.ac.uk/job/BJJ902/r



4、PhD positions at Technical University of Munich (Doctoral Program in Optimization and Networks)

The doctoral program in Operations Research with focus on “Advanced Optimization in a Networked Economy“ funded by the German Science Foundation (DFG) offers several positions for PhD students.


The challenges of a networked economy are fundamental and necessitate new theoretical and applied research. New computational techniques are needed to solve large-scale optimization problems and to handle large data sets; incentive structures have to be considered in situations with multiple decision makers; uncertainties and other dynamics in the parameters of resource allocation problems require new modeling tools and solution strategies. The research program focuses on important application-motivated projects that would benefit from new mathematical and analytical insights, including shared mobility, resource pooling, retail coordination, sales and operations planning, IT management, and airport operations.


Outstanding applicants with a background in mathematics, computer science, operations research, industrial engineering, or a related field will be offered a comprehensive study, training and research program. Specifically designed interdisciplinary projects will help to develop the ability to model, analyze, solve, and implement solutions for challenging real-world problems. A detailed description of the projects, participating researchers and further information regarding the application process is available at our website: gs.tum.de/adone/


Application Process:

Candidates are expected to hold a Master of Science degree (or, in exceptional cases, an excellent Bachelor degree) in one of the subject matters mentioned above and to have some experience with Operations Research methods. Excellent written and verbal communication skills in English are required.

We specifically encourage applications by qualified female researchers. Applicants with disabilities are treated with preference given comparable qualification.

For further information, please contact the RTG’s coordinator Dr. Yoshimi von Felbert (adone@tum.de<mailto:adone@tum.de >)

Please submit your complete application documents (as one pdf file) to adone@tum.de <mailto:adone@tum.de> by June 1st, 2018.



5、Two Fully-Funded PhD studentships in Computer Vision, University of East Anglia, UK

Please contact Graham Finlayson or Michal Mackiewicz if you are interested in applying. Both projects will start on the 1st Oct 2018.


Project 1 title: Content-Based Preferred Image Processing

Details: findaphd.com/search/Pro

Deadline: 13th May, 2018


Project 2 title: AI and physics-based approaches to bounding visual uncertainty

Details: findaphd.com/search/Pro



本篇整理:

王云龙,上海理工大学,运筹学与控制论专业硕士,学习非线性规划算法、半正定优化、组合优化方法。


如果你是运筹学/人工智能硕博或在读,请在下图的公众号后台留言:“加微信群”。系统会自动辨认你的关键字,并提示您进一步的加群要求和步骤,邀请您进全球运筹或AI学者群(群内学界、业界大佬云集)。

同时我们有:【运筹学|优化爱好者】【供应链|物流】【人工智能】【数据科学|分析】千人QQ群,想入群的小伙伴可以关注下方公众号点击“加入社区”按钮,获得入群传送门。

学术界|工业界招聘、征稿等信息免费发布,请见下图:

编辑于 2018-05-19

文章被以下专栏收录