computational.science July 2021

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Invitation for the 2021 Summer e-School on Deep Learning and Computer Vision, 23-27th August 2021, Aristotle University of Thessaloniki, Thessaloniki, Greece
by Ioanna Koroni 07 Jul '21

07 Jul '21

Dear Machine Learning, Computer Vision and Autonomous Systems engineers, scientists, and enthusiasts, you are welcomed to register to the 2021 Summer e-School on Deep Learning and Computer Vision: <http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2021/> http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2021/ It will take place on 23-27/08/2021 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The summer e-school consists of two short e-courses: a) 'Short Course Computer Vision and Deep Learning 2021', 23-24th August 2021, having focus on autonomous drones, cars and marine vessels: <http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-v ision-for-autonomous-systems-2021/> http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ b) 'Programming short course and workshop on Deep Learning and Computer Vision 2021', 25-27th August 2021, with applications in digital media and autonomous drones: <http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-dee p-learning-and-computer-vision-for-autonomous-systems-2021/> http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ You can follow the above-mentioned links for registration on either or both e-courses. For questions, please contact: Ioanna Koroni < <mailto:koroniioanna@csd.auth.gr> koroniioanna(a)csd.auth.gr> The first e-course contains 16 live (and recorded) lectures providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on autonomous drones, cars and marine vessels. The second programming short e-course and workshop offers a mix of live (and recorded) lectures and programming workshops (hands-on lab exercises) and aims at developing registrants' programming skills for Deep Learning and Computer Vision, with focus on drone imaging/cinematography and digital media applications. Both short e-courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is AUTH prime investigation for H2020 project AerialCore, Coordinator of the European Horizon2020 R&D project Multidrone, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece and Chair of the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top Computer Science and Electronics Scientist internationally by Guide2research (2018). Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally. Relevant links: 1. European Horizon2020 R&D projects Aerial-Core: <https://aerial-core.eu/> https://aerial-core.eu/, Multidrone: <https://multidrone.eu/> https://multidrone.eu/, AI4Media: <https://ai4media.eu/> https://ai4media.eu/ 2. AIIA Lab: <http://www.aiia.csd.auth.gr/> http://www.aiia.csd.auth.gr/ 3. Prof. I. Pitas: <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el Course descriptions a) 'Short Course Computer Vision and Deep Learning 2021', 23-24th August 2021. <http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-v ision-for-autonomous-systems-2021/> http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems imaging 2. Digital Image and Videos 3. Camera geometry 4. Stereo and Multiview imaging 5. Introduction to Artificial Neural Networks. Perceptron 6. Multilayer perceptron. Backpropagation 7. Deep neural networks. Convolutional NNs 8. Introduction to multiple drone imaging Part B (8 hours) Deep learning topic list 1. Simultaneous Localization and Mapping 2. Neural Slam 3. Deep object detection 4. 2D Visual Object Tracking 5. Drone mission planning and control 6. Introduction to car vision 7. Introduction to autonomous marine vehicles 8. CVML Software development tools b) ''Programming short course and workshop on Deep Learning and Computer Vision 2021', 25-27th August 2021. <http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-dee p-learning-and-computer-vision-for-autonomous-systems-2021/> http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ Part A (8 hours), Deep learning and GPU programming sample topic list 1. Introduction to autonomous systems 2. Deep neural networks. Convolutional NNs 3. Parallel GPU and multi-core CPU architectures - GPU programming 4. Image classification with CNNs. 5. CUDA programming Part B (8 hours), Deep Learning for Computer Vision sample topic list 1. Deep learning for object/face detection 2. 2D object tracking 3. PyTorch: Understand the core functionalities of an object detector. Training and deployment. 4. OpenCV programming for object tracking Part C (8 hours), Autonomous UAV cinematography sample topic list 1. Video summarization 2. UAV cinematography 3. Video summarization with Pytorch 4. Drone cinematography with Airsim Sincerely yours Prof. I. Pitas -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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Open Ph.D. Position ESR4 within the European InnoCyPES Project
by Massimo CAFARO 06 Jul '21

06 Jul '21

InnoCyPES is a project funded under H2020 Marie Skłodowska-Curie Actions, Innovative Training Networks. Within the project, there is an available position at the University of Salento, Lecce, for talented, enthusiastic, and ambitious candidates with the skills and knowledge to make excellent research and breakthroughs in the field of cyber physical energy systems. The successful ESR (Early Stage Researcher) candidate will enroll in the PhD programme in Engineering of Complex Systems and be employed for 36 months in the InnoCyPES network, consisting of 7 academic beneficiaries, 4 industrial beneficiaries, in collaboration with 10 partner organizations. InnoCyPES targets at the key bottlenecks of digital transformation of the current energy system, where the ESRs are expected to study, investigate and improve various facets of digitalized and interconnected energy systems. Supervised by a consortium of prominent and experienced academic institutions, research institutes and industrial partners, they will collaboratively develop a cutting-edge system management platform that covers the entire lifecycle of data for energy system planning, operation and maintenance, based on an understanding of the energy system as a cyber-physical system. The ESR will be enrolled in an intensive doctoral training program that is both intersectoral – involving key stakeholders – and interdisciplinary, including information science, energy systems engineering and social science. Benefits All InnoCyPES ESRs will benefit from: - Extensive training in technical and transferrable skills; - Participation to network events, workshops and conferences; - A prestigious three-year MSCA Fellowship; - A competitive salary including mobility and family allowances; - Intersectoral secondment experience. Qualifications Applicants shall have proven interest in interdisciplinary and intersectoral research, and with specific interest in the InnoCyPES research areas as evidenced by the application documents. Besides, the following requirements are to be met: 1) have obtained their Master of Science degree in Computer Science, Computer Engineering or equivalent; 2) An excellent academic record (grades of B or higher) 3) have engineering background relevant to the following areas but not limited to: distributed computing, databases, distributed data management, security and privacy; knowledge of times series storage and analysis is a plus; 4) have good command of English (minimum C1 or equivalent). Requirements The applicants must fulfill the following conditions: 1) Early stage researchers: Applicants must be early-stage researchers, which means at the date of start, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree; 2) Mobility Rule: researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of the host institute for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention1 are not taken into account. For international European interest organisations, international organisations, the European Commission's Joint Research Centre (JRC) or an 'entity created under Union law', recruited researchers must not have spent more than 12 months in the 3 years immediately before the recruitment date at the same appointing organisation. Are you interested? If you are interested in this exciting and challenging opportunity, please apply. Applicants of any age and of any nationality are eligible. The recruitment process follows an open, transparent, impartial, equitable and merit-based procedure and the European Charter and Code of Conduct for the Recruitment of Researchers. Consortium partners Host institute - Technical University of Denmark (DTU), Denmark - University of Utrecht (UU), Netherlands - Électricité de France (EDF), France - Delft University of Technology (TUD), Netherlands - University of Salento (UNILE), Italy - Norwegian University of Science and Technology (NTNU), Norway - Imperial College of London (ICL), United Kingdom - Dansk Energi (DE), Denmark - Austrian Institute of Technology (AIT), Austria - Siemens Gamesa Renewable Energy (SGRE), Denmark - Tajfun HiL (THiL), Serbia Partner organizations - Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia - DEPSYS (DEP), Switzerland - Equinor Energy (EQN), Norway - Swiss Federal Institute of Technology (ETH), Switzerland - Phase to Phase (Ph2Ph), Netherland - Instituto de Engenharia de Sistemas e Computadores - Investigação e Desenvolvimento (INESC), Portugal - NARI Technology (NARI), China - University of New South Wales (UNSW), Australia - Siemens, Denmark - Ørsted Wind Power (Ørsted), Denmark Open ESR position ESR4: Large scale data management The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data. The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the ESR research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges. · Host organisation: University of Salento, Italy · PhD-enrolment: University of Salento · Duration: 36 months · Expected start date: ~Nov 2021 · Secondment: DE (4 months), TUD (4 months) · Research directors: Prof. Massimo Cafaro massimo.cafaro(a)unisalento.it Prof. Italo Epicoco italo.epicoco(a)unisalento.it Simon Tindemans S.H.Tindemans(a)tudelft.nl HOW TO APPLY: https://www1.unisalento.it/bandi-concorsi/-/bandi/view/65641043 The tender is available as “Phd call - Engineering of complex systems - 37° cycle" https://www1.unisalento.it/c/document_library/get_file?p_l_id=63872469&fold… Applicants will find the position searching the document for Research Area No. 3 N. 1 position funded on InnoCyPES research program Large scale data management and integration In particular, applicants are strongly advised to check in the same document the "Additional note for the position funded on the InnoCyPES research program”, in which all of the requirements for this position are listed. The deadline for applications is July 8 01.00 PM Italian time. - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************ --

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Postdoc Research Fellow position in autonomous cyber-physical systems security at ADSC Singapore
by Tan Rui (Assoc Prof) 06 Jul '21

06 Jul '21

Postdoc Research Fellow position in autonomous cyber-physical systems security at ADSC Singapore A Research Fellow position is immediately available at Advanced Digital Sciences Center (ADSC) to conduct research and development for a new project in autonomous cyber-physical systems. The project aims at studying both internal and external attacks in autonomous cyber-physical systems using learning-based approaches. The successful candidate will work on designing the attack strategy for the adversary and defence strategy for the system operator using the machine learning or deep learning techniques. The specific task will include problem formulation, machine learning or deep learning algorithm designing and testing. Qualification requirements: - Phd in computer science or electrical engineering. - Experience in machine learning or deep learning. Skills requirements: - Familiar with Python, or C/C++ programming - Experience in cyber security or cyber-physical system is a plus - Capability of independent research - Good communication skills, and work under stress How to apply: Interested candidates can apply at https://my.engr.illinois.edu/apply To receive prompt review, please also send a copy of CV to lou.xin(a)adsc-create.edu.sg. Shortlisted candidates will be notified. Illinois At Singapore Pte. Ltd./ Advanced Digital Sciences Center (ADSC) is a university-related organization affiliated with the University of Illinois at Urbana-Champaign (UIUC) established 2009 for the conduct of research in Singapore with founding funding from National Research Foundation (NRF). ADSC operates in Singapore under the Singapore-chartered Illinois at Singapore Pte. Ltd. in partnership with NRF and interfaces with UIUC in the USA for many of its support functions. ADSC is home to approximately 50 researchers and students focusing on breakthrough innovations in information technologies supporting interactive cyber infrastructures that are expected to have a major impact in transforming humans’ use of information in data-intensive, technologically developed societies. ADSC’s research mission is carried out through projects that facilitate interactions among UIUC researchers, local researchers and their industry partners. Through this, ADSC aims to enhance Singapore’s position as a hub for leading edge research. For more information about this area at ADSC, please visit ADSC's website: http://adsc.illinois.edu/ ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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[Abstract Deadline in 1 Week] - IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2021
by Sanmukh Kuppannagari 02 Jul '21

02 Jul '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** Abstract Submission deadline for the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science, HiPC 2021 is in one week. Please register your papers before the deadline. Abstract Submission Deadline: 8 July, 2021 Paper Submission Deadline: 16 July, 2021 (hard deadline) More information can be found at the call for papers: https://hipc.org/call-for-papers/ Regards, Sanmukh Kuppannagari Senior Research Associate University of Southern California https://sanmukh.github.io/

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[MHPC] Meet with us!
by Master in HPC 01 Jul '21

01 Jul '21

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computational.science July 2021