At Agidens, we enhance process efficiency, quality and safety in sectors like life sciences, food and beverage, chemicals and infrastructure. Embracing the digital era, we have established a dedicated Data Science and Artificial Intelligence team to innovate and provide data-driven solutions. This strategic shift towards DS/AI highlights our commitment to using advanced technologies to tackle complex challenges and improve operations, helping our clients predict outcomes, make smarter decisions, and achieve superior operational efficiency.What will you do?Topic 1 - Large Language Model OrchestratorProblem description:As Agidens increasingly utilizes specialized LLM bots for various operational tasks, the challenge of managing multiple bots through seperate user interfaces has emerged. This fragmentation can lead to inefficiencies and a steep learning curve for employees, hindering overall productivity.Proposed solution:The project will focus on creating an LLM-driven "Orchestration Bot" that serves as a central hub within Microsoft Teams, where it will intelligently route user inquiries to the appropriate LLM bot based on the question and contextual clues. This integration aims to simplify access and interaction with our suite of bots, making them more accessible and efficient for all employees.Topic 2 - Advanced Insights for Industrial ProcessesProblem description:Agidens currently utilizes a platform capable of performing basic data-driven analyses on client process information. While useful, there remains a significant untapped potential in applying more sophisticated machine learning models to this data, particularly in an unsupervised and semi-supervised learning context. Our goal is to extract deeper, actionable insights from complex time series data collected from industrial processes.Proposed solution:The project will apply advanced achine learning techniques to enhance our existing platform. The intern will develop an "AI Insights Assistant" to perform "alarm cascade analysis", identifying sequences of alarms from various datasets to predict potential issues. This assistant will utilize heavier, unsupervised, or semi-supervised models to uncover patterns and anomalies beyond our current capabilities.Topic 3 - Automated Metadata DiscoveryProblem description:Agidens implements industrial automation solutions for production companies in various industries. These systems often have 10,000s of configuration parameters such as alarm thresholds, control settings, etc. In complex organizations with legacy code bases it is very difficult to identify all potential settings as the automation systems do not have clear metadata differentiating the settings from sensor values. This makes it difficult to monitor these parameters, causing risks on the continuity and security of the installation.Proposed solution:Building an AI system that can infer metadata of each value (“tag”), such as the type (e.g., parameter, sensor value) or the context (e.g., “temperature” vs “analogue range” vs ...), using the historical values and variation of values, various naming conventions, type of operations in the code, etc.Who are you?We are seeking candidates who are eager to contribute to pioneering AI solutions. Ideal applicantsbring the following skills and experiences:
Currently enrolled in the 3rd year of a bachelor’s program or in a master's degree in computerscience, physics, mathematics, or a related field
Strong proficiency in Python
Excellent verbal and written communication skills in English
Experience with deep learning libraries such a PyTorch is a plus
Familiarity with cloud deployment is a plus
A basic understanding of industrial processes is a plus
What do we offer?This summer, we are searching for students to join our innovative team. Our internships offer the chance to work on real-world problems, applying your studies to advance our data-driven solutions in industrial automation. Step into a role where your work directly advances innovative solutions in a rapidly evolving industrial landscape.Let's get together!To apply for this internship, please email your resume and a cover letter to ruben.broekx@agidens.com, Lead Data Scientist at Agidens. Clearly express your interest andqualifications, as well as the position you are applying for. These documents should be submitted in English.Following the initial screening of submitted applications, qualified candidates will be invited to a short online meeting. During this meeting, we will discuss the internship topics you find most interesting and conduct a small technical assessment to gauge your suitability for the role. Applications are accepted until the 1st of June. We encourage early submissions, as selections will be made on a rolling basis. We look forward to your application and hope to meet you soon!
