*Job Description*
Artificial Intelligence is transforming the energy industry to the next
level. In Schlumberger, we provide solutions enriched with powerful AI
and industry-leading analytics. Are you an engineering or a MS student
interested in a 2021 Artificial Intelligence Internship in the field of
NLP? Do you enjoy tackling challenging problems with researchers,
engineers and domain experts? If this describes you, come join our AI
Lab team at Schlumberger.
As an Artificial Intelligence Engineer intern, you will have access to
large textual data from well construction business line. You will
explore different kinds of natural language processing methods (as
listed below) for unstructured-to-structured data processing. The main
goal of the internship is to build a cumulative foundation of domain
work applied to NLP, benefiting well construction projects.

  * Statistical based methods: You will start with traditional
    rule-based methods (e.g. regular expression and keyword searching)
    and statistical based algorithms (e.g. TF-IDF and n-grams). Then we
    analyze the results and collect the feedback from domain experts
    for a better understanding of the data, the domain knowledge and
    the potential challenges.

  * Transformer-based methods: You will explore the idea of applying
    unsupervised models, especially the pretrained language models such
    as BERT and DistilBERT, to oil and gas data. Besides, developing a
    hybrid system by combining traditional rule-based methods and deep
    learning embedding-based models is also one direction to explore.

  * Graph-based methods: Graph representation learning for scanned
    document analysis has attracted more and more attention in the area
    of information retrieval research. You will make an overview of the
    current state of the art with NLP researchers from the Lab.


* Essential Responsibilities and Duties*

  * The responsibilities will be to research the state of the art in
    this domain which could be applied to deliver the required outcome.
  * The candidate will learn the latest and greatest in the context
    of our described challenge.
  * Research, Model, Solution and Report will be part of the deliveries
    for this project.
  * Additional opportunities to produce recorded webinars and marketing
    2 min recording pitches will most likely occur during the internship.


*Qualifications*

  * End studies internship, master student or engineering school
    student


* Competencies and skills*

  * Skills: applied mathematics, probability & statistics, natural
    language processing models like LSTM, GRU, Attention, NLP libraries
    like SpaCy, etc.
  * Programming language: Python, PyTorch or Keras/Tensorflow

*Duration* 5/6 months, ideally starting from April or May 2021.
*Place* Working from home & Onsite meeting once per week at
    Schlumberger Riboud Product Center in Clamart (flexible depending
    on intern needs).
*Gross monthly gratification* 1500 euros
*Contact* Zheng ZHANG (zzhang54@slb.com), Schlumberger AI Lab
    Please send your CV to Zheng Zhang's email address.

Schlumberger is an equal employment opportunity employer. Qualified
applicants are considered without regard to race, color, religion, sex,
sexual orientation, gender identity, national origin, age, disability,
or other characteristics protected by law.