Natural Language Process Calls For Internship Application


Natural Language Process (NLP) in collaboration with interdisciplinary teams, including data scientists, geospatial analysts, and software engineers. Actively participate in team meetings, discussions, and knowledge-sharing sessions. Proactively expand your knowledge base on 6 months-learning and staying updated with the latest advancements in Geospatial AI and NLP call on interested and eligible persons to apply for an internship.

Requirements
Pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Geography, Geoinformatics, or a related field.


READ ALSO: Apply For 2023 ExxonMobil Graduate Trainee Program


  • Demonstrated research interest and knowledge in Geospatial AI and Natural Language Processing. Familiarity with relevant concepts, techniques, and tools is highly desirable.

  • Proficiency in Python programming language with experience in using relevant libraries and frameworks for geospatial analysis and NLP (e.g., GDAL, GeoPandas, NLTK, spaCy, sci-kit-learn, Tensorflow, PyTorch).

  • Solid understanding of machine learning algorithms, data preprocessing, feature engineering, and model evaluation.

  • Familiarity with geospatial data formats (e.g., GeoJSON, Shapefile, NetCDF) and their manipulation.

  • Strong analytical and problem-solving skills, with the ability to translate complex research concepts into practical solutions.

  • Excellent written and verbal communication skills, with the ability to present findings and insights to both technical and non-technical audiences.

  • Self-motivated, with a strong sense of curiosity and a willingness to learn and adapt to new technologies and research areas.

  • Prior experience or coursework in remote sensing, spatial analysis, or natural language processing will be a plus.

    Duration of the internship

This is an internship position with a duration of 6 months.

Note: all interested applicants are advised to include a cover letter or statement of interest emphasizing their research experience and passion for Geospatial Analytics and Natural Language Processing when applying.

Eligible persons can fill out the form here.

Leave a Reply

Your email address will not be published. Required fields are marked *