2024 - Ecai

AI modelling Engineer - Permanent

5G has already entered reality, and the increasing network complexity has brought three major challenges to mobile network construction: 2G / 3G / 4G / 5G network overlays, complex network management beyond human effort; Massive MIMO, heterogeneous networking and other Technology and architecture have brought great challenges to the mining of network potential; the advent of 5G has expanded mobile network services, and at the same time, user experience management of multi-service networks has become more complex. To meet the challenge of network complexity, we need to deeply couple AI technology and mobile networks to create a mobile network with the best user experience, improve operational efficiency, and achieve "autonomous driving" mobile networks.

Huawei announced Dublin as the location for its new ICT Operation Competence Centre. The Centre will carry out pioneering R&D to lead the Telecom industry transformation towards Digital business, providing Intelligent (AI) systems and services to support such transformation and new business models.

The newly formed R&D team’s mission is to define and drive Huawei’s Intelligent Operations and Management System for coming Hybrid Cloud Telecom Networks, leverage the emerging technologies to improve the operation efficiency and define the next generation network O&M architecture (e.g. 5G O&M). We are offering an AI research consultant position on the autonomous network.

About the Position

The successful candidate will join our team to investigate and perform research work on Autonomous Network topics. More specifically, she/he will:

• Identify the key technologies to enable the autonomous network
• Apply state-of-the-art solutions to build a small scale POC on the topic
• Work with our domain experts and other researchers to prepare deep dive reports

Requirements

• PhD in computer science, artificial intelligence, machine learning, information technology with a focus on AI modelling or hands on industry experience in AI modelling.
• Solid understanding of common programming languages used in AI, such as Python, and R.
• Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability
• Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks, such as Pytorch.

Senior AI Researcher -Reinforcement Learning & Multi-objective Optimization - Permanent

The mission of Huawei Ireland Research Center CT Operations Lab is to be recognized leaders of world class intelligent and autonomous operation for Autonomous Driving Networks, influencing market and product development in order to deliver significant business value. The Lab conducts research on the state-of-art AI technologies to build the foundation for the intelligent operations and management of Autonomous Driving Networks.

As a Senior AI researcher your knowledge and experience in designing and building intelligent systems will be applied to the areas of network control, parameter optimisation. The successful candidate will be an enthusiastic, motivated AI researcher with a solid theoretical background and practical experience in large-scale Reinforcement Learning. Experience with Multi-agent learning is a great plus.

Key responsibilities include:

• Identify the state-of-art (both in industry and in academic literature) of AI technologies for solving problems in the domain of optimal control and multi-objective optimization for Autonomous Driving Networks.
• Contribute to iterative development of validated software prototypes based on AI technologies, and benchmark alternative solutions.
• Work closely with Domain Experts, Data Engineers, and Data Scientists in realizing the goals of the project.

Requirements

• PhD in Artificial Intelligence or Machine Learning.
• 2+ years of industrial or post-doctoral research experience in Artificial Intelligence or Machine Learning.
• Strong practical experience with large-scale Reinforcement Learning (i.e. Model-free, Model-based, Partially observable environments).
• Practical experience with multi-agent learning.
• Practical experience with large-scale discrete / continuous optimisation (i.e., combinatorial optimisation, integer programming, constraint programming, linear programming, meta-heuristics).
• Strong programming skills in Python.
• Practical experience with the use of RL / Optimisation frameworks (i.e., OpenAI Gym, Google Dopamine, RLLib, Keras-RL, TensorForce, Google OR tools, PuLP, PyMOO).
• Problem solving ability, and demonstrated ability to develop new algorithms and methodologies from leading open source initiatives and research papers.
• Publication track records in conferences and journals, including, but not limited to, ICLR, ICML, ECML, NIPS, AAAI, IJCAI, IJCNN is a plus.
• Experience with Neural Networks for sequence and graph data is a plus.

Principal Data Scientist - Recommender Systems - Permanent

About the Role

Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognized technology leader and a global provider of information and communications technology (ICT) solutions. To achieve this we are building an industry-recognized multi-discipline Research Centre of experts with a focus on medium-term to long-term issues. The IRC will work closely with an open innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects.

In this role, you will have the chance to work on projects that impact millions of people, explore novel ways to build recommender systems, and provide the most relevant items to users.

Check out the Life at Huawei Ireland Research Centre: bit.ly/huawei-irc

Key Responsibilities

· Build new recommender system algorithms that work

· Literature review and investigate the state-of-the-art

· Dataset acquisition

· Build models with novelty, applicability, and practicality in mind.

· Model evaluation and iteration

· Write documentation, papers, or patent application (whichever is applicable)

· Navigate ambiguity that might occur in the projects or relationship with stakeholders

· Building a demonstration system to showcase its value

Requirements

• Experience in recommender systems

• Programming and software engineering experience in Python, R, C, or C++

• Passionate about data and machine learning

• Research experience, or a PhD, in Computer Science, Mathematics, or Statistics

• Able to work independently and as a team, and drive a project from its inception to the finish line on time

• Publication track records in top-tier computing conferences or journals

Benefits

• Annual leave
• Training & Development

ONLY CANDIDATES WHO MAY LIVE AND WORK IN IRELAND WITHOUT RESTRICTION CAN BE CONSIDERED FOR THIS POSITION.

DUE TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEW WILL BE CONTACTED

http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html