Research AI Scientist - Center for Research Computing Fixed - Term for 3 years

The Chronicle Of Higher Education Inc
Emirate of Umm Al Quwain, AE

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • advanced AI capabilities
  • developed algorithms for product innovation
Typical background
degree in computer science or related fieldexperience with AI frameworks

Transferable backgrounds

  • Coming from data science
  • Coming from research

Skills & requirements

Required

Machine LearningAI MethodologiesData AnalysisProgramming

Preferred

Reinforcement LearningNatural Language ProcessingComputer Vision

Stack & domain

PythonNumPyScipyscikit-learnTensorFlowPyTorchGitCommunicationResearchMachine LearningAI

About the role

Original posting from The Chronicle Of Higher Education Inc

Position Summary

New York University Abu Dhabi (NYUAD) seeks to appoint a Research AI Scientist reporting to a Research Data Scientist II. This role will leverage cutting‑edge machine learning techniques and contribute to advancing our AI capabilities. The position is instrumental in developing algorithms to solve complex problems and enhance our product offerings, making a significant impact on our mission.

Key Responsibilities

Work with faculty and researchers through collaboration and support to advance their research using AI (NLP, ML & CV)

Conduct research on machine learning and AI methodologies to develop novel algorithms that drive product innovation

Design and execute experiments to validate hypotheses, analyze data, and derive actionable insights

Collaborate with cross‑functional teams to integrate AI solutions into existing products and workflows

Conduct training, engagement and outreach to the researcher and faculty community

Required Education

Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Preferred Education

Doctoral Degree in a related field

Required Experience

Proficiency in programming languages such as Python and relevant libraries (e.g., NumPy, SciPy, scikit‑learn) and experience with AI frameworks like TensorFlow or PyTorch

Strong background in statistical analysis and data modeling techniques

Deep understanding of machine learning algorithms and their applications

Experience with data preprocessing, feature engineering, and model evaluation

Strong coding skills in Python or similar languages, with experience in version control systems like Git

Ability to develop applications using Machine Learning and Artificial Intelligence

Ability to clearly communicate technical concepts to non‑technical audiences

Ability to keep up to date with technological advances

Ability to work in a team‑based environment and contribute positively to it

Ability to work on own initiative and as part of a team

Ability to work with individuals at all levels and diplomatically manage expectations

Creative problem‑solving abilities and initiative

Strong organizational skills

Strong presentation and report‑writing skills

Excellent communication, interpersonal and analytical skills are essential

Ability to manage conflicting priorities in an effective and professional manner

Preferred Experience

Experience with large‑scale machine learning systems and cloud‑based solutions (AWS, Azure, GCP)

Familiarity with reinforcement learning, natural language processing, or computer vision

Demonstrated ability to work in a collaborative team environment and communicate complex concepts effectively

Proficiency with popular GenAI tools and frameworks (e.g., OpenAI ChatGPT, Claude, Gemini, Llama)

Experience working at a research university HPC center is highly preferred

Source: The Chronicle Of Higher Education Inc careers

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