Aramco Digital seeks Computer Vision and Machine Perception Specialists (at multiple levels of seniority) for its Aramco Intelligence Business Unit. The Specialists will be responsible for creating systems utilizing various types of imaging sensors and sources as well as perceptual systems for generalized audition, tactile sensing, olfaction etc. The systems created might perform object and human detection, recognition, tracking, as well as scene and interaction analysis and understanding, as well as source localization and other such tasks, and might be coupled in real-time with decision, planning, control and actuation systems of various types, and might also be re-trainable and fine-tunable in-situ. The systems might utilize edge- as well as cloud-processing capabilities, and might cover multiple application areas including oil-and-gas, energy, transportation, aerospace, maintenance, defense-and-security, biomedical, and agricultural. This position requires individuals wi!
 th an educational background as well as work experience relevant to Advanced Computer Vision and Machine Perception. Minimum bachelors/masters degrees in Computer Science/Engineering or relevant fields (or PhD/PostDoc level for the Senior positions), as well as relevant experience. The candidates should have strong Mathematical, Statistical and Programming as well as Computer-Vision and Machine-Perception-specific skills, including AI/ML/Deep Learning, and hands-on experience in relevant packages such as OpenCV, SciKit-Image, Tensorflow, and PyTorch. An existing project portfolio and codebase in github as well as specialization in certain application areas would be highly desirable. The candidate should have the ability to communicate with other AI/ML technical team members as well as business stakeholders to understand and interactively negotiate system requirements and objectives, translating them to scope agreement documents, including not only system and software archit!
 ectural choices, but also expected timelines, dataset specific!
 ations, and evaluation methods and potential achievable KPI’s.

*Key Responsibilities:*
• Proficient utilization of computer vision, machine perception, and other relevant tools, such as OpenCV, SciKit-Image, Tensorflow, and PyTorch, towards creating state-of-the-art computer vision and machine perception systems

• Choice and utilization not only of on-prem but also of cloud-based computer vision and machine perception services, as offered by Google, Azure, and other such providers

• Training and testing dataset discovery, creation, choice, requirements analysis, as well as model creation or transfer-learning

• Creation of systems that have strict response-time, robustness, and/or computational resource constraints

• Knowledge of, choice and utilization of various imaging and perceptual sensors, including (but not limited to) visible, infrared, SWIR, multispectral, as well as laser-ranging sensors and medical-imaging imaging.

• Desirable (not required for all candidates): Design, implementation, and evaluation of non-imaging perceptual systems which might include auditory, tactile, and olfactory systems, among others.

• Desirable (not required for all candidates): Designing, implementing, and evaluating real-time closed-loop perception-action systems, as well as multi-sensor-fusion systems

• Desirable (not required for all candidates): Demonstrating excellence in specific application areas of machine vision and perception, such as aerospace, energy, defense/security, biomedical, and maintaining our use-cases, reusable components (models/datasets/pipelines etc)

• Desirable (not required for all candidates): Application of deep knowledge and extensive experience towards Affective and Human-Centered Perception Systems, including Whole-Body-Interfaces, Brain-Machine Interfaces, Eye Tracking devices.

• Team-working, team-creation and -leadership (for higher seniority positions), as well as stakeholder communication, including understand and interactively negotiating system requirements and objectives, translating them to scope agreement documents, including not only system and software architectural choices, but also expected timelines, dataset specifications, and evaluation methods and potential achievable KPI’s.

*Invitation to Join Aramco Digital:*
The role of Computer Vision and Machine Perception Specialists for the Aramco Intelligence Business Unit of Aramco Digital represents a unique opportunity to participate in the newly-founded digital entity of the Aramco, one of the world's largest integrated energy and chemicals companies, delivering societal and economic benefits to people and communities around the globe who rely on the vital energy it supplies, which is furthermore committed to playing a leading role in the energy transition. The chosen candidate will play a pivotal role in driving innovation, working alongside a team of experts dedicated to developing solutions that enable businesses to reach unprecedented levels of efficiency, decision-making accuracy, and impact towards a better world.

Kindly send your CV to nmav@alum.mit.edu for more information!

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================ Call For Papers =====================
49th Annual IEEE Conference on Local Computer Networks

Caen, Normandy, France
October 8-10, 2024
www.ieeelcn.org
======================================================

*** Important dates ***

Paper registration: May 3, 2024
Paper submission: May 3, 2024
Notifications: June 28, 2024
Camera ready: July 25, 2024

The IEEE LCN conference is the premier conference on the leading edge of
theoretical and practical aspects of computer networking. LCN is a
highly interactive conference that enables an effective exchange of
results and ideas among researchers, users, and product developers. For
the past 48 years, major developments from AI-enabled high-speed
networking to application-focused IoT networks and trending areas like
quantum networking have been reported at this conference. Topics of
interest include, but are not limited to:

– Adaptive networking applications
– AI-enabled networking
– Big Data Networking
– Cloud computing and networking
– Cognitive radio networks
– Cross-layer optimization
– Cyber-physical systems
– Data center networking
– Decentralized Systems and Blockchain Networks
– Delay-tolerant networks
– E-Health networking
– Embedded networks
– Green networking
– Information-centric networking
– Internet of Things
– Local area networks
– Machine-to-machine communications for smart environments
– Mobile and ubiquitous networking
– Mobility and Location-dependent services
– Multimedia and real-time communication
– Network coding
– Network management, reliability and QoS
– Network Security and privacy
– Network traffic characterization and measurements
– Opportunistic networking
– Optical and high-speed access networks
– Overlay and peer-to-peer networks
– Performance evaluation of networks
– Personal and wearable networks
– Quantum communication and networking
– Routing and transport protocols
– Satellite communication and networks
– Smart Cities
– Smart Grid communications
– Social networks
– Software Defined Networking and Network Function Virtualization
– Test beds for network experiments
– Underwater sensor networks
– Vehicular networks
– Wireless ad hoc & sensor networks

Authors are invited to submit papers describing original, previously
unpublished work, not currently under review by another conference,
workshop, or journal. There are a number of tracks that are designed to
improve interactions of experts over different stages in research
development.

  * Full Regular papers (maximum 8 pages plus references, 10 pt font in
IEEE format) should present novel perspectives within the general scope
of the conference.
  * Short papers (maximum 6 pages plus references, 10 pt font in IEEE
format) are an opportunity to present preliminary or interim results on
hot topics in a poster session.
  * Doctoral track papers (maximum 6 pages plus references, 10 pt font in
IEEE format) provide a supportive setting for Ph.D. students (who must
be the first author) to discuss their problem statement, methods,
results, obtain feedback from established researchers and establish
contacts for entering the job market. The doctoral track involves a
mentoring program.
  * Special Tracks papers (maximum 6 pages plus references, 10 pt font in
IEEE format) focusing on nascent and promising areas in networking
research, which shall involve experts in those areas seeking to foster
collaborative development.

Full, short, special tracks, and doctoral papers are published in the
IEEE LCN proceedings and IEEE Xplore. All published papers must include
title, complete contact information for all authors, abstract, and
keywords on the cover page. IEEE reserves the right to remove papers
from IEEE Xplore that are not presented at the conference.

*** Paper submission ***

Papers must be registered on EDAS and submitted in PDF format. Detailed
submission instructions are available at the conference website. Direct
your questions to Program Chairs: Florian Tschorsch and Kanchana
Thilakarathna (program@ieeelcn.org).

A limited number of student grants and N2 Women Young Researcher
Fellowship awards are considered by the conference each year.

*** Keynote talks ***

Keynote 1: David Gesbert, EURECOM
Title: Learning and sensing in the sky with UAV-aided 6G Networks

Keynote 2: Anja Feldmann, Max Planck Institut für Informatik
Saarbrücken,
Title: Internet Traffic Analysis at Scale

Keynote 3: Dario Rossi, Huawei Paris Research Center,
Title: Foundational and Specialized Models for Cyberdefense

*** Remote Presentation Option ***

LCN considers in-person meetings indispensable for collaborations,
personal exchanges, discussions, and networking opportunities.
Recognizing the evolving landscape of academic conferences and the need
for flexibility, LCN 2024 introduces a Remote Presentation Option.

Upon acceptance/registration, authors have the option to select physical
or remote presentation modes. When opting for remote presentation, a fee
of 500 USD is required in addition to the author registration. This fee
covers supplementary costs associated with providing a remote option.
The additional fee for remote presentations may be waived when all
authors are from countries marked with an asterisk on the following list
of IEEE eMembership.

Countries: https://www.ieee.org/membership/join/emember-countries.html

Remote presentation is restricted to full, short, and doctoral papers.
Further implementation details will be communicated as part of the
author and presenter instructions.

The overarching goal of LCN 2024 is to enhance the accessibility and
inclusivity of LCN, catering to a diverse global audience while
preserving the value of physical participation.