Master Thesis: Mathematical optimization using evolutionary algorithms

LET’S TALK ABOUT YOU

Your profile
* Academic background in energy systems, engineering, computer science, statistics, mathematics, or another relevant field
* Strong analytical skills and solid mathematical background and must have programming skills (preferable: Python, R)
* Introductory knowledge of Mathematical optimization, like linear programming and heuristics methods is a must-have
* We consider meritorious knowledge of more complex optimization techniques, Genetic Algorithms
* We consider meritorious skills the knowledge of machine learning/deep learning-oriented libraries (scikit-learn, caret, mlr, keras, pytorch etc…), data handling libraries (Pandas or tidyverse)

Your responsibilities

In Siemens Energy, we are developing many solutions that rely on mathematical optimization as their kernel. Such solutions aim to optimize different processes such as customers operations or our production plans. We are currently dependent on external companies for our solvers for mathematical optimization. Therefore comes the need to investigate other ways for solving optimization problems, such methods like Genetic Algorithms based optimization methods could be the solution.

Your role in this project is to try different optimization methods that focus on Genetic Algorithms (probably using libraries like DEAP python Library) and investigate the business impact of your new proposed solution and how it is helpful for the company compared to the currently developed optimization method. Your tasks will be:
* Literature Review of existing methodologies used for formulating and solving optimization problems.
* Build and test different solutions and evaluate their performance.
* Understand and present the business impact of your solution in comparison to the company’s current optimization methods.
* Validate the methodology with current optimization method.

Your opportunities for personal growth:
* Mentored by experienced specialist within the area
* Get to know a global company in the forefront of new energy technology
* Establish network for future cooperation

LET’S TALK ABOUT US

"Let’s make tomorrow different today" is our genuine commitment at Siemens Energy to all customers and employees on the way to a sustainable future.

Siemens Energy is one of the world’s leading energy technology companies. The company works with its customers and partners on energy systems for the future, thus supporting the transition to a more sustainable world. With its portfolio of products, solutions and services, Siemens Energy covers almost the entire energy value chain – from power generation and transmission to storage. The portfolio includes conventional and renewable energy technology, such as gas and steam turbines, hybrid power plants operated with hydrogen, and power generators and transformers. More than 50 percent of the portfolio has already been decarbonized.

A majority stake in the listed company Siemens Gamesa Renewable Energy (SGRE) makes Siemens Energy a global market leader for renewable energies. An estimated one-sixth of the electricity generated worldwide is based on technologies from Siemens Energy. Siemens Energy employs 91,000 people worldwide in more than 90 countries and generated revenue of around €29 billion in fiscal year 2019. In Sweden Siemens Energy has 2600 employees in 10 locations.

Read more about Siemens Energy here:

http://www.siemens-energy.com

MORE INSIGHTS

Be Energized. Be you.

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and compassion. Our combined creative energy is fueled by at least 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society. All of society. 

Job & Career: https://www.siemens-energy.com/global/en/company/jobs.html

Application

Don’t hesitate – apply via https://jobs.siemens-energy.com/jobs id nr 227966 not later than 2021-12-05.

For questions about the role, please contact Noufal Muhammad at [email protected] or Mohamad Ahmed at [email protected].

For questions about the recruitment process please contact the responsible recruiter Nelly Johansson at [email protected].

Location: Finspång

Trade Union Representatives:
Veronica Andersson, Unionen, 0122-840 21
Simon Von Eckardstein, Sveriges Ingenjörer, 0122-842 24
Jan Lundgren, Ledarna, 0122-812 33
Jonny Persson, IF Metall, 0122-817 69