PhD Research Scholar - Data Scientist

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.

Position Overview

We are seeking a passionate and motivated Data Scientist Intern to join our team. The ideal candidate has a strong foundation in machine learning with exposure to Reinforcement Learning (RL) and a basic understanding of control systems theory. You will work closely with our data science and engineering teams to develop, test, and evaluate intelligent models for real-world applications.

Key Responsibilities

• Design and implement of machine learning models, especially reinforcement learning algorithms.
• Analyze large datasets, extract meaningful patterns, and prepare data for modeling.
• Conduct experiments to optimize RL agents and evaluate their performance in simulated or real environments.
• Support the integration of ML/RL models into production pipelines or test benches.
• Collaborate with cross-functional teams to understand domain-specific requirements.
• Document findings, methodologies, and present results to the team.
  
  

Qualifications

• Currently pursuing a Master’s or PhD in Computer Science, Data Science.
• Solid understanding of machine learning fundamentals, with hands-on experience in Python and ML libraries such as PyTorch, TensorFlow, or scikit-learn.
• Familiarity with Reinforcement Learning concepts such as policy/value functions, Q-learning, actor-critic methods, or model-based RL.
• Good-to-have: Knowledge of classical control theory, system dynamics, or model predictive control (MPC).
• Experience with simulation tools (e.g., OpenAI Gym, MATLAB/Simulink, or similar) is a plus.
• Strong analytical, problem-solving, and communication skills.
  
  

Preferred Skills (Good To Have)

• Exposure to control systems design and analysis.
• Experience working with time series data or sequential decision-making problems.
• Familiarity with tools like Git, Docker, and cloud platforms (AWS, GCP).
  
  

Skills

• Python
• RL(Reinforcement Learning)
• Timeseries Algorithm (ANN,RNN,LSTM)
• Data Cleaning
• Exploratory Data Analysis
• Data Visualization
• Machine Learning
• SQL
• Git
  
  

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Who We Are And What We Believe In

We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.

Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.

Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.