Graduation Project: Using AI in Self rostering
2 maanden geleden
Job description
ORTEC leverage data et mathematics to create value for businesses and society at large. They have a leading employee rostering solution for various industries. One of the possible rostering methods is self-rostering, where the employees express their preferences, compare them to the duty capacities and interchange shifts to define an initial roster. As the collaboration of the employees is not negligible, ORTEC would like to invest if we can use AI to make the process less time-consuming for the employees.
The aim of this work is to invest if we can use AI to make the process less time-consuming for the employees. In a very first step we would like to develop a machine learning model that proposes preferences for the nurses. The employees can make changes manually and the model can learn from that feedback. In a second step, we would like to propose changes to the nurses to satisfy the duty capacities. The acceptance or decline of the employees gives feedback about the propositions of the model.
As a thesis student, you will study the scientific literature related to self-rostering and machine learning. You will use SQL and Python to investigate actual company data. You will develop and fit machine learning models for the two steps mentioned above.
Who you are
You are in your last year of your Masters in the field of data science, machine learning, computer science, operations research, mathematics, or other similar areas. You know how to build supervised machine learning models. Preferably, you have work/academic experience where you independently build working prototypes/proof of concepts. You are familiar with analyzing time series data. You have good SQL knowledge and/or are willing to learn quickly. You have good coding skills (preferably OOP) in at least one coding language (preferably Python). You can communicate fluently in English or Dutch, verbally and in writing. You are able to travel to the Zoetermeer office of ORTEC for a few days a week. Hybrid working is possible. You are available for 32-40 hours a week. You are available for a minimum of six months. You live in the Netherlands and study at a Dutch University.
What we offer
Entrance to the most passionate powerhouse in applied mathematics. We share a drive to use our problem-solving skills to improve our planet, from the world at large to our own backyard. Inclusion in a company founded by graduate students back in 1981, which today still fosters its students by: Excellent supervision during your graduation project. Good internship allowance, laptop, and other office facilities. An open, kind, and fun culture. The Student Pool, a group that organizes all kinds of activities for graduate students at ORTEC, including Thursday afternoon drinks at our own bar “ORTap” (government regulations permitting).The next steps:
Did we peak your interest? Then upload your CV, motivation letter and grade lists (BSc and MSc in one PDF if applicable). The recruitment process will consist of two online assessments: a personality and intelligence test, and an interview.
What to expect
We will help you to thrive in your field of expertise. We offer development programs, tailored to your individual needs and function requirements, including opportunities to attend courses and seminars. We offer challenging, practical hands-on experience with opportunities to work abroad. We operate in a flat organizational structure that keeps communication lines short. The atmosphere is open, informal, cooperative and positive.
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Zoetermeer, Nederland ORTEC VoltijdJob description ORTEC leverages data and mathematics to create value for businesses and society at large. They develop a leading employee rostering solution for various industries. The optimization module creates schedules for employees such that hard constraints (e.g., labor rules) are not violated and soft constraints (e.g., preferences of employees...
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Zoetermeer, Nederland ORTEC VoltijdJob description ORTEC leverages data and mathematics to create value for businesses and society at large. They develop a leading employee rostering solution for various industries. The optimization module creates schedules for employees such that hard constraints (e.g., labor rules) are not violated and soft constraints (e.g., preferences of employees...
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Graduation Project: Route Optimization in Timeslotting
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Zoetermeer, Nederland ORTEC VoltijdJob description The e-Grocery business, in which consumers shop for groceries online which will be delivered to their door, is growing rapidly. Efficiency in the delivery operations is of key importance here, so route optimization plays a large role in this business. Since customer orders come in all the time, and the order booking system needs...
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Zoetermeer, Nederland ORTEC VoltijdJob description If you're a fan of Dijkstra’s, read on! While the famous Dijkstra algorithm is the fastest algorithm for shortest pathfinding in a general graph, in special cases we can do better by relying on assumptions for the input graph. At ORTEC, we repeatedly compute many related shortest paths on a static graph: the road network. For...
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Zoetermeer, Nederland ORTEC VoltijdJob description ORTEC serves several industries where routing is a crucial part of the operations, such as retail, e-grocery, and parcel delivery. In these businesses, there is a growing demand for optimization engines that not only look at efficiency, but also consider other objectives such as customer service level and driver happiness. In many...
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