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PDEng position in prototype implementation for ML-Ready video delivery operations

The Netherlands

PDEng position in prototype implementation for ML-Ready video delivery operations is available for MSc degree candidates in Computer Science, Internet Science & Technology, Software Technology, Business Information Technology (BIT), Industrial Engineering and Management, Interaction Technology, or a related specialization at the faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Netherlands 2022


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General Info

Position: PDEng
No. of Positions: 1
Research Field: , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: Subject to Norms
Salary: € 2,009/month

faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)

University of Twente (UT), the Netherlands


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Qualification Details

  • You hold a MSc degree in: Computer Science, Internet Science & Technology, Software Technology, Business Information Technology (BIT), Industrial Engineering and Management, Interaction Technology, or a related specialization;
  • You have knowledge of software development and operations (tools, collaboration, experience);
  • Analytics knowledge or willingness to learn;
  • Knowledge of programming languages (Python or similar);
  • You have demonstrated affinity with design and multidisciplinary assignments;
  • You have a passion for finding solutions for complex IT-related issues;
  • You have excellent collaboration and communication skills;
  • You are self-starting and self-motivating, willing to take initiatives and feel the responsibility for your own project;
  • We prefer a candidate with strong data science, machine learning, and cloud engineering expertise for architecting and engineering AI/ML solutions in the domain of video delivery networks.

Responsibilities/Job Description

The Professional Doctorate in Engineering (PDEng) programme Business & IT (BIT) offers you a 2-year position combining post MSc education and a design project to be carried out at video service provider Divitel in Apeldoorn.

The educational programme, carried out at the University of Twente in Enschede, will have an in-depth and broadening character with ample attention for professional development and will be partly tailored to the design project. In collaboration with Divitel in Apeldoorn you will work on high level, creative new designs for complex issues.

The challenge & the projectThe key challenge in providing digital video services lies in video delivery ecosystems' complexity and dynamic nature. Manually sorting out logs, metrics, events, and alerts, diagnosing the causes of incidents and anomalies, then taking actions to correct quality issues require much human interaction and effort. This impacts service quality negatively, resulting in low Net Promoter Scores, low viewer satisfaction, high costs of operations, and high customer churn.

The typical Video Service Provider wastes a significant portion of its budget on inefficiencies that only worsen as complexity grows. The complexity of ecosystems continues to grow, and the number of ecosystem elements needing to be managed multiplies exponentially as technologies such as cloud migration take hold. Divitel wants to address this problem and bring an automated solution to the marketplace.

The vision is to automate video delivery operations resulting in a SaaS solution that includes a suite of tools that monitor, alert, and predict, which is also integrated into the decision-making process by providing insights about current conditions and receiving continuous feedback. When deployed commercially, it shall detect and fix service failures in just minutes instead of weeks or months. In addition, it will learn over time, becoming increasingly intelligent with each failure detected and will detect and fix problems in real-time. This way, a contextual resiliency and a high level of automation will be reached, where machine intelligence mostly makes decisions and executions. The solution will significantly increase video service providers' service quality, customer satisfaction, and operating margin.

Your goal is to design a framework and deliver a prototype implementation that efficiently and effectively collects data from various video delivery ecosystems and makes the data ready for machine learning and analytics. You will develop a data pipeline and data warehouse, and it will also have the intelligence to discover data sources, capture interactions between ecosystem elements, and map their interdependencies. This intelligence shall auto-discover the connected components in the environment and dynamically create a topology to visualize the connections across the entire ecosystem. With these, the solution can discover the functional dependencies within the video delivery workflows.

How to Apply?

Application Method: Online Application
Ref. No.: -

Application Procedure

Please send the following documents via the 'Apply now' button below and include:

  • Letter of motivation
  • Curriculum vitae
  • List with grades of courses attended
  • References and, if applicable, a list of publications.

About the organization Divitel

Divitel is a multinational professional services company for the Media and Entertainment industry, headquartered in Apeldoorn. We have spent the last two decades transforming the way video delivery technology is designed, deployed, and operated for clients around the world. Currently, we’re developing and deploying exciting new services on the cutting edge of data-driven video delivery operations, employing high-tech resources like AI, machine learning, and robotization to enable top-of-the-line video quality for TV operators around the globe.

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

About the Employer:

Note or Other details

  • University of Twente and Divitel offer you a very challenging position for two years in an inspiring multidisciplinary and international environment. In this time we will provide you with a tailor made post-master design programme that has an educational component (~50%) as well as a design project (~50%). You will be supervised by a team of experts from both Divitel and the University of Twente.
  • Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
  • The salary will be € 2.009,- gross per month;
  • There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
  • On successfully completing the programme, you will receive a certified degree. You will be entitled to use the academic degree PDEng and will be registered as a Technological Designer in the Dutch register kept by the Royal Institution of Engineers in the Netherlands (KIVI).

Applicants with a non-Dutch qualification and who have not had secondary and tertiary education in English can only be admitted with an IELTS-test showing a total band score of at least 6.5, internet TOEFL test (TOEFL-iBT) showing a score of at least 90, or a Cambridge CAE-C (CPE).

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Contact details

If you have any further questions about this vacancy of the PDEng programme in Business & IT, please contact Luís Ferreira Pires Email: [email protected] Telephone: +31 534 89 38 43

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