Assistant Professor of Operations Analytics (Machine Learning & Sustainability)

Vrije Universiteit Amsterdam (VU Amsterdam); Amsterdam; On-site; EUR 54,963 - 84,514; Full time

Benefits offered by this job

Holiday leave 232 hours/year

8% holiday allowance

8.3% end-of-year bonus

ABP pension

Commuting expense contribution

Sports facilities access

Job summary

Vrije Universiteit Amsterdam’s Operations Analytics department seeks a colleague to strengthen research and teaching in quantitative methods. You will teach across BSc/MSc/PhD programs, supervise theses, and conduct high-quality research at the intersection of machine learning and sustainability management.

You will publish in top journals, pursue research grants, and engage with companies and stakeholders while contributing to administrative and committee work within the department.

Qualifications

• A (nearly) completed PhD in a quantitative field relevant to the role.
• Strong background in quantitative research and modelling.
• Proven publications in optimization and/or machine learning.
• Ability to contribute to research and teaching in sustainability and operations.
• Teaching experience at university level is required or highly desirable.
• Excellent communication with students, industry and partners.

Responsibilities

• Teach and coordinate courses in quantitative programmes and supervise theses.
• Initiate and supervise high-quality research at the interface of ML and sustainability.
• Publish in top journals and acquire research grants.
• Engage with industry and societal stakeholders and contribute to postgraduate education.
• Support department development through admin tasks and committee roles.

Skills

Quantitative research

Machine learning

Teaching experience

Communication skills

English fluency

Dutch language (plus)

Education

PhD in Operations Research / Operations Management / Industrial Engineering / Computer Science / Management Science or related

Job description

We seek a new colleague who will help build and extend our department's reputation for excellence in research and teaching. Our research creates impact through publications in top international academic journals and close collaboration with companies. Our teaching spans a range of quantitative courses at bachelor's, master's, Ph.D. and postgraduate level, along with thesis supervision.

Your duties

• teaching and course coordination in quantitative courses and thesis supervision in the BSc and MSc programmes of the School of Business and Economics
• initiating, conducting, and supervising high-quality research at the interface of machine learning and sustainability management
• publishing in top-tier journals and acquiring research grants
• engaging with companies and other societal stakeholders, in line with the School’s societal impact strategy, and contributing to postgraduate education
• contributing to the development of the department and school, for example through administrative and organisational tasks, and taking on committee roles as your career progresses

Your profile

• a (nearly) completed PhD in Operations Research, Operations Management, Industrial Engineering, Computer Science, Management Science or a related quantitative field
• a solid background in quantitative research
• a strong interest in analyzing and modelling real-life problems in sustainability and operations using state-of-the-art quantitative methods, witnessed by international scientific publications in mathematical optimization and/or machine learning
• affinity with machine learning and quantitative sustainability methods and the ability to contribute to the department’s research and teaching in this area
• demonstrated teaching experience at university level
• good communication skills to interact successfully with students, industry, and academic partners; experience in curriculum or course development is a plus
• fluent in English (command of Dutch language is a plus)

What do we offer?

Education

• a salary of minimum € 4.925,00 (Scale 11) and maximum € 7.573,00 (Scale 12) gross per month, on a full-time basis. The exact salary depends on your education and experience.
• a position for at least 0.8 fte. Your employment contract will initially last 18 months. This can be converted into a permanent contract depending on performance in light of criteria formulated at the start of the contract. Candidates should be willing to acquire a basic qualification in teaching as demanded by Dutch universities (if they do not already have one)

We also offer you attractive fringe benefits and regulations. Some examples:

• A full-time 38-hour working week comes with a holiday leave entitlement of 232 hours per year. If you choose to work 40 hours, you have 96 extra holiday leave hours on an annual basis. For part-timers, this is calculated pro rata.
• 8% holiday allowance and 8.3% end-of-year bonus
• solid pension scheme (ABP)
• contribution to commuting expenses
• a wide range of sports facilities which staff may use at a modest charge

About Us

Operations Analytics

The department of Operations Analytics of Vrije Universiteit Amsterdam studies how data can be transformed into better decisions for a variety of processes and operations.

Research efforts are aimed at analyzing data-driven decision-making problems arising in industry and society, in particular related to Logistics and Supply Chain Management, Sustainability and Networks.

By examining the mathematical structure and properties of these decision-making problems and by developing novel data analysis and optimization methods, the Department offers academic and practical insights on how to tackle contemporary challenges. Supported by government research grants and industry collaborations, the research output of the department is published in top-tier journals and valorized in master of science programmes in Transport and Supply Chain Management, in Econometrics and Operations Research, and in Ph.D. and postgraduate education.

School of Business and Economics

We at the School of Business and Economics (SBE) at VU Amsterdam bring together socially relevant teaching and research in the areas of business administration and economics. We focus on real-life issues that have a huge impact on society, economics and ecology: from robotics to big data, and from job market participation to change management.

Collaboration and cooperation, transparency and social responsibility are four keywords that embody our approach. Students, researchers and staff at SBE share real-world knowledge in order to devise solutions together to global economic and social challenges. In order to make a positive impact on the world, society and the lives of others.

Are you interested in joining SBE? You will work in a stimulating, dynamic and international environment with motivated colleagues dedicated to helping society make informed choices. SBE employs roughly 600 staff, with 7,250 students enrolled in the Bachelor’s and Master’s programmes and 1,700 executive students.

Vrije Universiteit Amsterdam

Vrije Universiteit Amsterdam stands for values-driven education and research. We are open-minded experts with the ability to think freely - a broader mind. Maintaining an entrepreneurial perspective and concentrating on diversity, significance and humanity, we work on sustainable solutions with social impact. By joining forces, across the boundaries of disciplines, we work towards a better world for people and planet. Together we create a safe and respectful working and study climate, and an inspiring environment for education and research. Learn more about our codes of conduct (https://vu.nl/en/about-vu/more-about/code-of-conduct-vu-amsterdam)

We are located on one physical campus, in the heart of Amsterdam's Zuidas business district, with excellent location and accessibility. Over 6,150 staff work at the VU and over 31,000 students attend academic education.

Diversity

Diversity is the driving force of VU Amsterdam. VU wants to be accessible and receptive to diversity in disciplines, cultures, ideas, nationalities, beliefs, preferences and worldviews. We believe that trust, respect, interest and differences lead to new insights and innovation, to sharpness and clarity, to excellence and a broader understanding.

We stand for an inclusive community and believe that diversity and internationalisation contribute to the quality of education, research and our services.

Therefore, we are always searching for people whose backgrounds and experience contribute to the diversity of the VU community.