KE@Work: information for organisations - Research (2024)

Department of Advanced Computing Sciences

Are you a student interested in participating in KE@Work?Click here to findthe information relevant to you.

Maastricht University's Department of Advanced of Computing Sciences places their brightest and most ambitious bachelor's students atpartner organisations in the Euregion. With the KE@Work programme, students work in your organisation for two days a week. For the duration of two years, they tackle an AI- and/or Data Science-related challengeunder supervision of both you and one of our academic staff members.

KE@Work (Knowledge Engineering at Work) is an honours track of the Data Science and Artificial Intelligence bachelor's programme, which teaches a mix of Artificial Intelligence, Data Science, Computer Science and Applied Mathematics. Since we started the KE@Work programme in 2014, our students have completed projects at a wide variety of organisations such as APG, Mediaan, Accenture, and Q-Park.

Why participate in KE@Work?

Gain access to cutting-edge knowledge in the domain of Data Science and Artificial Intelligence
Meet our top 25% students and acquaint them with your company before they graduate
Two-year programme duration allows you to explore business cases in-depth

We are always on the lookout for new partners with challenging projects. Will your organisation be on next year's list? Don't hesitate to reach out to us - we'll gladly tell you more.

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What can KE@Work students do?
What's in it for you?
What is required from KE@Work partner organisations?
Get in touch!

What can KE@Work students do?

To be frank: a lot! KE@Work is an honours track within the Data Science and Artificial Intelligence bachelor's programme.Data Science and Artificial Intelligencehappens when computer science, artificial intelligence and mathematics meet.

Curriculum and qualifications
Naturally, our first-year bachelor's students follow courses on programming and mathematics. In addition, they learn about computational and cognitive neuroscience, data structures and algorithms, and software engineering. In the second and third year, we teach them about databases, machine learning, mathematical modelling, operations research and natural language processing.

Only top-performing students are selected for the KE@Work programme. To qualify for the honours track, students need an average grade of at least 7.5 during the first year of their programme. In addition, we teach them skills like corporate communication prior to participating in KE@Work.

Importantly, KE@Work students are not on their own: each student is supervised by an academic staff member of the Department of Advanced Computing Sciences.

When we started KE@Work, we didn’t have any data scientists on board. We now have seventeen. Five of those are current KE@Work students. Others completed KE@Work with us and stayed after graduating. In total, 15 of our 17 data scientists have a connection to the Department of Advanced Computing Sciences in Maastricht.

Elmer Nelis, managing director of Mediaan, January 2019

KE@Work: information for organisations - Research (1)

Students & projects

Since KE@Work started in 2014, we placed over 177 students from 48 different countries with more than 60 partner organisations.

Scroll through some of the projects to get an impression of KE@Work's who, what and where.

KE@Work: information for organisations - Research (2)

Iga Skorupska (Poland)

Works at Aucos: "to analyze time anomalies in loading and unloading processes. The main focus will be on finding the cause of these anomalies and predicting them to improve plant’s efficiency."

KE@Work: information for organisations - Research (3)

Tsvetan Naydenov (Bulgaria)

Works atVDL Nedcar: "to predict the probability of a downtime on a certain production line in the assembly shop of a car manufactory and automatically inform the person responsible for that line."

KE@Work: information for organisations - Research (4)

Berfin Inal (Turkey)

Works atSitech: "to explore the possibilities of securing process safety and societal acceptance using all kinds of data available."

KE@Work: information for organisations - Research (5)

Nikolas Oikonomou (Greece)

Works atQ-Park: "to try and identify the different types of customers in Q-Park's parking facilities, understand their parking behavior and link these insights with the company's business objectives."

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What's in it for you?

When Professor Frank Thuijsman initiated KE@Work, he envisioned a 'triple-win' structure: a programme in which all parties - student, university and corporate partners - benefit.

Only the best students
Participating in KE@Work gets you a top-performinghonours student, who works an average of 20 hours per week at your organisation. We employ a matching procedure, where you conduct 10-minute interviews with eligible KE@Work students. After the matching procedure in June, the studentwill work towards exploring and solving your big question for the duration of two years. In addition, the student will write their bachelor's thesis on a topic of interest to your KE@Work project.

Students choose to join, because they see – for whatever reason – something in it for themselves. That motivated group of students is your starting point.

Danni Liu, KE@Work alumna

KE@Work: information for organisations - Research (6)

KE@Work at Yunify, Geleen

We often hear that KE@Work students challenge and transcend the expectations organisations have of them. At the level these students perform at, they don't just learn from you.KE@Work studentsbring a lot of technical know-how with them, especially when it comes to the latest advances which may not yet have found their way into your organisation.

Furthermore, the KE@Work programme offers youa unique opportunity to get acquainted withhighly desired graduates - and to do so before they even enter the job market.

Academic supervision
Through KE@Work, you also receivefeedback froman academic working at the cutting edge of Data Science and/or Artificial Intelligence.This person is an academic staff member of the Department of Advanced Computing Sciences,who acts as the dedicated KE@Work supervisor who will help the student with the academic challenges of the project.

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KE@Work: information for organisations - Research (7)

KE@Work at VDL Nedcar

What is required from KE@Work partner organisations?

Are you an organisation with an office in the vicinity of Maastricht and do you have a challenge that can be solved through Data Science or Artificial Intelligence? Are you open to hosting some of our best students to implement solutions for the duration of two years?

If yes, great - these are the most important ingredients! In addition, we expect KE@Work partner organisations to provide the following things:

In-house supervision
KE@Work students have two supervisors: one academic supervisor provided by the university, and one supervisor provided by the organisation they work at. As local supervisor, it's your job tointroduce the student to the office culture and act as a mentor in the professional environment.

Don't worry though: we prepare KE@Work students with workshops on things like corporate communication, and we have a dedicated KE@Work coordinator who is ready to assist you in case problems arise.

KE@Work: information for organisations - Research (8)

Cohort 2019-2020

Involvement in the KE@Work trajectory
Partnerorganisations are involved in the whole KE@Work trajectory.This includes the matching period, during which you pitch your project (pitch event) and conduct interviews (Speed Dates) with students interested in working at your organisation. Prior to the pitch event, all participating companies will receive a copy of the CV’s prepared by students during one of the workshop sessions. Students will receive a bundle of all available projects in the same week.

During the pitch event, all participating companies have the opportunity to pitch their project(s) (5 minutes for a single project, 10 minutes for multiple projects). After the pitches, we will organise a social gathering so you can get to know each other better.

To ensure that you find a match, we will organise speed dates in the week after the pitch event in which all companies will talk one-on-one with the students who have their project(s) high in their ranking. This way, we aim to match students and projects as effectively as possible. Once all projects are matched, we will proceed with the contract signing.

Once the project started, you will interact with the academic supervisor on a monthly basis. At the end of each semester - so twice per year - you will evaluate the project and discuss its continuation.

Internship fee
Participation involves a fee which covers both the student's intership feeand the cost of academic supervision.The total fee amounts to€925 euros per student per month in the first year of the programme, and to €975 euros per student per month in the second year of the programme (excluding VAT).

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Get in touch

Do you have any further questions, or are you interested in participating in KE@Work? We're happy to talk to you viakework@maastrichtuniversity.nl.

  • Anouk Quaden

    KE@Work coordinator

    Anouk runs KE@Work on a day-to-day basis. She's your first point of contact for all matters relating toKE@Work.

  • Kurt Driessens

    KE@Work co-coordinator

    Kurt joined the KE@Work team as co-coordinator in 2023. Previously, Kurt's roles included programme director and head of the programme committee.

  • Prof. dr. Frank Thuijsman

    KE@Work initiator

    Frank founded KE@Work in 2014. He's a fulltime professor, who isstill actively involved with the programme.

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Further reading

  • KE@Work: information for organisations - Research (9)

    Five years KE@Work, more A-team than Beauty and the Beast

    What makes the KE@Work partnership unique, and which philosophy is behind the programme’s collaboration?

  • KE@Work: information for organisations - Research (10)

    Two silver Reimagine Education Awards for KE@Work

    KE@Work won a silver award in the category Best Employer-University Partnership during the gala ceremony in San Francisco.

KE@Work: information for organisations - Research (2024)

FAQs

Why do work organizations need to conduct research? ›

Research is an essential part of operating an effective business. By researching the market, industry and customers, a company can make an effective business plan or marketing strategy. Learning more about business research could help you start a new company or improve an existing one.

What part of the research paper answers the question "What is the significance of your results?"? ›

The results section of a research paper tells the reader what you found, while the discussion section tells the reader what your findings mean. The results section should present the facts in an academic and unbiased manner, avoiding any attempt at analyzing or interpreting the data.

Is 10 participants enough for qualitative research? ›

While there are no hard and fast rules around how many people you should involve in your research, some researchers estimate between 10 and 50 participants as being sufficient depending on your type of research and research question (Creswell & Creswell, 2018).

Why is it important to research companies or organizations? ›

Researching organizations is an integral part of your job search process, whether you're exploring options or preparing for an upcoming event or interview. When exploring, your research will help you identify career options and organizations that could be a good fit for you.

What is the purpose why we need to conduct research? ›

Performing research helps individuals gain knowledge and understanding about a particular topic, which can be valuable in many areas of life. Supports decision-making. Researching can help provide information to support decision-making in various areas such as personal finance, healthcare, education, and more.

Why is researching important in the workplace? ›

As you can see, research skills are an essential part of many jobs and can help you make better decisions, solve problems, innovate, establish credibility, and keep up with new developments in your industry.

What are good research questions examples? ›

Research Question TypeQuestion Formulation/Example
Correlational research questionWhat is the relationship between baldness and age?
Exploratory research questionIs it possible that VEGF has an effect in plant photosynthesis?
Explanatory research questionWhat is the cause of increased violence among young adults?
3 more rows
Sep 7, 2022

What is the most significant part of research? ›

Abstract, methodology and result sections are more important parts which can influence the quality of a research work. The most important part of the research work is the Result. The finding is very important and justifies the other parts.

What is a good sample size for research? ›

Sampling ratio (sample size to population size): Generally speaking, the smaller the population, the larger the sampling ratio needed. For populations under 1,000, a minimum ratio of 30 percent (300 individuals) is advisable to ensure representativeness of the sample.

Is 20 participants enough for quantitative research? ›

If the research has a relational survey design, the sample size should not be less than 30. Causal-comparative and experimental studies require more than 50 samples. In survey research, 100 samples should be identified for each major sub-group in the population and between 20 to 50 samples for each minor sub-group.

What is the best sample size for qualitative research? ›

The standard in qualitative research is that it takes 12-13 responses to reach saturation -- meaning whether you survey 13 or 130 people, the number of insights/themes you get is the same. There are folks who debate the exact number of participants, but most in the scientific community agree it's below 20.

What is the first step in preparing for an interview? ›

How to prepare for an interview (steps & tips)
  • Research the Company. ...
  • Review the Job Description. ...
  • Practice Your Answers. ...
  • Dress Appropriately. ...
  • Arrive Early. ...
  • Bring a Copy of Your Resume. ...
  • Follow Up. ...
  • Interview Prep Tips.

What is the key difference between digital and offline interviews? ›

However, online interviews can be susceptible to technical issues, which can cause disruptions during the interview process. They also lack the personal interaction of an offline interview, which can make it difficult for the employer to evaluate the applicant's interpersonal skills and body language.

Which of the following questions should you avoid asking at the beginning of a job interview? ›

Never ask if you can change the job details, the schedule, or the salary. Never ask many questions about the interviewer's background. Never ask about pay, time off, benefits, etc. (Wait until later in the process to inquire about these things.)

Why is it important for an organization to conduct research ethically? ›

There are several reasons why it is important to adhere to ethical norms in research. First, norms promote the aims of research, such as knowledge, truth, and avoidance of error. For example, prohibitions against fabricating, falsifying, or misrepresenting research data promote the truth and minimize error.

Why would a company want to do research? ›

Market Research forecasts future trends

Not only does market research provide knowledge of the current market state, but it can also be used to anticipate future customer needs. Businesses can then make the adjustments necessary to their product portfolios and levels of output to remain successful.

Why is there a need for a business to conduct research? ›

Business research helps to identify opportunities and threats. It helps identify research problems, and using this information, wise decisions can be made to tackle the issue appropriately. It helps to understand customers better and hence can be useful to communicate better with the customers or stakeholders.

Why is research important in organizational development? ›

Thus, research serves a dual role in advancing organizational knowledge. Research provides knowledge that can be directly ap- plied to the improvement of practice, and it is used to develop core theories.

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