Volvo invites applications for a Ph.D. Research Scholar at Volvo, Bangalore. Check the details below!

About Volvo

The Volvo Group drives prosperity through transport solutions, offering trucks, buses, construction equipment, power solutions for marine and industrial applications, financing, and services that increase our customer’s uptime and productivity.

Objective

To apply rich knowledge and research mindset and empower them to build rewarding and satisfying careers in the fields of transport and infrastructure.

Job Description

  • We are the Simulation and Analytics Team in Powertrain Engineering within Volvo Group Trucks Technology, a dynamic team working towards enabling the Technology organization in evaluating futuristic products and services for Volvo business units such as trucks, buses, construction equipment, and Marine.
  • The main tasks of our team are to meet our customer’s expectations on quality, and fuel consumption and to comply with emission legislation. This is done by selecting Engine HW components and calibrating engine-related functions. Upcoming emission legislation requires the development of advanced control strategies together with optimized hardware and software. You will be an important contributor to this development.
  • Powertrain is the heart of the Truck and is one of the focus areas within Volvo Group, which is at the forefront of sustainable transport solutions for tomorrow.
  • At Volvo Group Trucks Technology Powertrain Engineering, we have started to lay a big emphasis on how Data should Drive our Future Development. We are currently looking for a Data Scientist Research Scholar who can help us to accelerate our Journey.

Responsibilities

  • You will work in agile teams through good collaboration with our colleagues in software development and design teams all around the world.
  • You will be responsible for expert advice in terms of data usage, transformation, and algorithms to the data science team and identifying the best data-driven solution, from roadmap to strategy, to building and operationalizing models.
  • Your expertise is in quickly realizing which ML approach to take for a specific problem and the caveats of that approach. You get the opportunity to follow your Data-Driven Models from script to test cell to verification in a truck and eventually to being used by our end customers.
  • We have an agile way of working, where each team plans its activities in sprints and deliver solutions together as a team.
  • We strive to have an open and honest environment within the teams, where it is easy to ask each other for support when needed.
  • The tasks can be either part of a larger project or short tasks to improve products currently in production.
  • You will get the opportunity to interact with highly committed colleagues from different cultures. We hope you will learn as much from us as we will from you.

Eligibility

Ph.D. Scholars registered with any university in India or abroad in a relevant academic discipline, currently employed or doing projects in specifically identified areas (Currently pursuing Ph.D.).

Technical and Professional Requirements

  • We believe that to be successful in this position, you are a team player, have strong expertise in data science, an understanding of data engineering concepts, and a will to deliver.
  • A Master’s Degree holder in Automobile/Mechanical/Electronics/Computer Science/Statistics pursuing a Ph.D. in Data Science.
  • You must have a proven experience in Data modeling – good knowledge of statistics (Inference, Optimization, Bayesian statistics) and machine learning, Deep Learning, Time series, etc., and should be able to deploy various ML algorithms to solve complicated problems (prediction, automation, real-time optimization, etc).
  • Full working knowledge of a few of the following algorithms – SVM, k-NN, DT, DL(AE, GAN, LSTM, etc..) with experience in implementation in a productized solution
  • You can work smoothly with tools like Python (including libraries like Numpy, SciPy, Pandas, and Tensorflow), R, SQL, Git, Azure, Hadoop, pySpark, and C/C++/ Scala.
  • Collaborate with all the team members to guide them in various projects with various statistical & Data science approaches.
  • Should be able to adequately explain which machine learning algorithm will be suitable for the problem statement, including defining the predictor and target variables, measurement of variables, hyperparameters, etc.
  • A clear understanding of the applications and limitations of supervised, unsupervised and semi-supervised learning. Knowledge about self-learning systems is a plus.
  • Experience in working with huge data sets (Spark, BigQuery, Azure SQL, etc) and incorporating dimension reduction techniques.
  • Knowledge of embedded systems and their software systems is a plus.
  • Experience in working with relational databases, data privacy, and understanding of IOT-based instrumentation design with additional data logging to build or validate models is a big plus.

Period

Paid program of nine-month duration.

Location

Bangalore, India.

How to Apply?

Interested candidates can apply through this link.

Click here to view the official notification for Ph.D. Research Scholar at Volvo, Bangalore.