🚀 Internship

Software Engineering – General Internship (12-13 months)


2mo ago

🚀 Placement Program


Rolling basis


Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on a 1 year internship. You will be part of a multi-disciplinary team in the Digital Research department which comprises the Data Lab, the Automation & Planning (A&P) programme and the Domain & Integrated Systems (D&IS) programme. 

This role is technical and requires a lot of coding, supporting our research scientists in delivering their work to the wider organisation. We currently have two positions for 2023 entry in A&P, one of 3-6 month duration and the other for 1 year. 

In A&P we are developing the future machine reasoning infrastructure. This system assists their decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this suits an open-minded 

For the position in the D&IS, depending on your personal interest and duration of the internship, your role will be to work with data scientists and domain experts, helping develop advanced data analytics, cloud computing, and user interfaces. 

Your work will involve programming in Python, SQL, as well as Java and C++. Other programming languages and frameworks may also be required, and training resources and time will be provided.

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Area of Responsibilities

Software Engineering


Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes.  Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders Acquire and apply software development skills in a supportive environment of continuous learning 
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Passionate interest in programming  Willingness to learn Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills : Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams Development of Web Applications  Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL 
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