Key Skills

Job Description

Introduction Do you enjoy inspiring the next generation of professionals? Are you enthusiastic about data analytics and AI? We are looking for a university teacher to develop and teach courses on data analytics and AI, possibly next to a job, PhD, or Post-doc position they are already fulfilling. Job Description We are seeking a University Teacher to teach courses in data analytics and AI and to supervise student projects, including bachelor’s and master’s thesis projects. Teaching responsibilities include developing and continuously updating course materials based on the latest scientific advances. This is especially important in the rapidly evolving fields of data analytics and AI, because courses must incorporate up-to-date AI methods, tools, and techniques. At the same time, students need to develop the skills to use AI responsibly and effectively as part of their learning process. You will play a key role in equipping students with both a strong theoretical foundation and the practical competencies to do this. The position is based in the Information Systems group, in the Industrial Engineering and Innovation Sciences (IE&IS) department at Eindhoven University of Technology. You will be working with our professors, PhD students, and teaching assistants to deliver high-quality education. The Information Systems group develops methods, tools, and techniques that support the entire lifecycle of Information Systems development, including advanced analytics and AI. It focuses on leveraging data analytics and AI to enhance organizational decision-making. Applications across various sectors are studied, with a focus on healthcare, transportation and logistics, services, smart industry, mobility, and energy. As a member of the group, you will contribute to teaching students how to improve organizational decision making with data science and AI. In this role, you will be responsible for developing and delivering high-quality course materials, teaching lectures and tutorials, designing assignments and exams, and supervising student projects, including bachelor’s and master’s thesis projects. In addition, 20% of your time will be dedicated to education-related research. The position is initially offered for a period of six months on a full-time basis or up to twelve months on a part-time basis. The appointment can be combined with another part-time position, such as a role at another institution or an existing PhD or postdoctoral appointment at TU/e. Depending on performance and available funding, there may be opportunities to extend the appointment or move to a permanent position. This position offers a unique opportunity to contribute to the education of the next generation of data analytics and AI professionals, while helping shape the future of AI education at the university. Job Requirements The successful candidate will meet most of the following requirements: You have a Master's or PhD degree in Data Science, AI, Computer Science, Industrial Engineering, or a similar field of study. You possess strong programming skills, preferably in Python, and are comfortable applying them in data analytics and AI contexts. You have a strong interest in education and some prior teaching experience, for example as a teaching assistant. You enjoy collaborating in (teaching) teams. Your communication skills are excellent as is your proficiency in English and your ability to collaborate in an international setting. Experience with the Dutch or broader European higher education system is considered a strong advantage. The preferred starting date is January 1, 2026. A later date by up to 2 months is negotiable, but not preferred. Conditions of Employment A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In Addition, We Offer You Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 or 11, ranging from € 3,706 to € 6,682 gross base salary per month (full-time). In addition to your base salary, you will receive an 8% holiday allowance and an 8.3% year-end bonus, both calculated based on your annual gross base salary. Generous leave options: a standard 29 days (based on a 38 hour working week) per year that you can increase to 41 days by working two hours more per week (flexible working hours). This is prorated if you work part-time. As a TU/e employee, you participate in the ABP pension scheme, providing retirement pension and pension benefits for surviving dependents and occupational disability. TU/e pays 70% of the pension premium, while employees contribute the remaining 30%. A favorable arrangement for more holidays or a sabbatical. A selection model for additional fringe benefits. Working hours in consultation for an optimal work-life balance. An excellent technical infrastructure, and on-campus children's day care. Unlimited access to the modern on campus TU/e Student Sports Center at an exceptionally affordable rate. We support your wellbeing with free 24/7 access to OpenUp, providing you and your family with mental health support, expert guidance, and online training. Scope for your talent with advancement prospects and excellent development opportunities such as mentoring, workshops and coaching. Partially paid parental leave and reimbursement for commuting expenses, working from home and the internet. On our website you can discover even more information about our conditions of employment. Build on your career at TU/e! About Us We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community. Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here. Information Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Remco Dijkman, Chair of Information Systems, [email protected] or +31 40 247 4370. Visit our website for more information about the application process. Are you inspired and would like to know more about working at TU/e? Please visit our career page. Application If you are interested, please use the ‘apply’ button to send us your CV and letter of application with your motivation and a description of your qualifications. Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected. We look forward to receiving your application! Please note You can apply online. We will not process applications sent by email and/or post. A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines. Please do not contact us for unsolicited services.

Core Responsibilities

Develop and teach university courses in data analytics and AI, including the creation of updated course materials and exams. Supervise bachelor's and master's thesis projects and dedicate 20% of time to education-related research.

Requirements

Requires a Master's or PhD in Data Science, AI, Computer Science, or Industrial Engineering with strong Python programming skills. Prior teaching experience and excellent English communication skills are necessary.

Benefits

• Holiday Allowance
• Year-end Bonus
• Flexible Working Hours
• Pension Scheme
• Sabbatical Arrangement
• Fringe Benefits Selection Model
• On-campus Children's Day Care
• Student Sports Center Access
• Mental Health Support
• Parental Leave
• Commuting Expense Reimbursement
• Home Office Allowance