Master Thesis: NLP Search Input Classification

In Siemens Energy, Natural Language Processing (NLP) is used, amongst other things, to bridge the gap between users and data. Your role in this project is to use Artificial Intelligence to identify Entities and Logical Constructs from user input and shape them into a relational format that can be understood by our Natural Language Query (NLQ) algorithm. Your job will also focus on investigating about the business impact of your new proposed solution, how robust it is under different scenarios and how it compares to the current methods.

LET’S TALK ABOUT YOU

Your profile
* Master student in engineering, computer science, mathematics or another equivalent field.
* Strong analytical skills and solid mathematical background.
* Interested in Data Science (especially in NLP), with programming skills (preferably Python, R).
* We consider meritorious knowledge of Machine Learning and Data Handling libraries (scikit-learn, spacy, bert, keras, tensorflow, pytorch, pandas, tidyverse, etc...).
* We consider meritorious a GitHub record with NLP and other Data Science projects.
* We consider meritorious Open-Source contributions.

Your responsibilities

Text data contains often comes in an unstructured format, which makes it challenging for computers to process. Luckily, current state of the art libraries and algorithms enable us to structure this information, by extracting entities, intents, relationships and other semantical constructs.

You will be responsible for tasks such as:
* Literature Review of existing methodologies used for search input classification.
* Creating a new model for extracting the mentioned constructs, or improve the existing model.
* Creating comparative study guidelines, based a diversified search input set.
* Use these methodologies to compare the original and new model.
* Making sure the classified construct formats match NLQ dependencies.

Your opportunities for personal growth
* A chance to put your knowledge to practical use, through product-oriented development.
* A conducive workplace and supervision to learn and understand the challenges of large-scale machine learning and come up with innovative ways to tackle them.
* An opportunity to make an impact in the digitalization of Siemens Energy, by means of actively contributing to research and improvement of existing applications.

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 227965 not later than 2021-12-05.

For questions about the role, please contact Tomas Madeira 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