PhD Research Scholar - Data Analyst

Job description

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. 

Key Responsibilities:

Your role is to support in development and execution of analytical and data driven solution for battery management in Volvo Energy focusing on Battery Energy Storage Systems (BESS).

You will work on developing time-series forecasting and optimization algorithms (linear/non-linear) for improving BESS operations. You are also expected to support in the thermal management modelling of the batteries/inverters/other electrical components using a 1-D simulation software.

 

Qualifications:

Bachelor’s degree in mechanical engineering and currently pursuing PhD. in applied Mechanical/Electrical/Mathematics/AI-ML Engineering or another equivalent field with good analytical skills.

Willingness to explore and understand about Li-ion battery technology is a must.

 

Experience:

Candidate should have hands-on experience in 1D modelling of thermal systems such as HVAC, cooling systems, modelling fluid flow.

Experience on modelling heat generation from electrical components like battery, inverters, etc

Experience in mathematical modelling and optimization problems (linear/non-linear)

Experience in ML project workflows: data ingestion, data preprocessing, feature engineering, model building and model validation.

Experience on building/training time-series forecasting models

Experience with Business Intelligence tools: PowerBI is preferred.

Familiarity with ML frameworks like scikit-learn, Tensorflow, PyTorch, etc

 

 

Technical Strengths:

Deep understanding of heat transfer and thermodynamics

Knowledge of HVAC systems, heat exchangers, fluid dynamics

Good command in programming languages such as Python. Experience of data science python libraries

Good experience in data exploration, data visualization and pattern recognition techniques. 

 

Soft Skills:

Team player

Good communication and networking skills

We value your data privacy and therefore do not accept applications via mail. 

 

Who we are and what we believe in 
Our focus on Inclusion, Diversity, and Equity allows each of us the opportunity to bring our full authentic self to work and thrive by providing a safe and supportive environment, free of harassment and discrimination. We are committed to removing the barriers to entry, which is why we ask that even if you feel you may not meet every qualification on the job description, please apply and let us decide.

 

Applying to this job offers you the opportunity to join Volvo Group . Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group’s leading brands and entities. 

 

Volvo Energy lives and leads the change in accelerating Volvo Group’s electrification journey and driving circularity for a better tomorrow. We bring together people with who will work in a highly diverse, equal and inclusive global context with an entrepreneurial spirit where everyone is key and directly contributes to achieving our ambitions for wanted position: better for people – better for planet – better for business. Together – from individual success to collective significance!

Job Category:  Technology Engineering

Organization:  Volvo Energy

Travel Required:  No Travel Required

Requisition ID:  15901