The call for application is open for the position of Assistant Professor On machine learning process system engineering.
The field of Process Systems Engineering (PSE) is at the heart of addressing some of the most pressing challenges associated with the global energy and material transition. As industries face mounting pressure to reduce their environmental impact and adopt sustainable practices, PSE plays a pivotal role in designing, optimizing, and managing complex industrial processes to improve efficiency, reduce waste, and minimize resource consumption.
In the context of the energy transition, the demand for renewable energy sources, decarbonization strategies, and energy-efficient systems has increased the complexity of process engineering, requiring advanced, data-driven approaches to meet these evolving needs.
The Assistant Professor will address these challenges by combining machine learning techniques with PSE to drive innovation in sustainable, energy-efficient processes.
Tasks
The key responsibility for this position includes
- Research and Development in Process Systems Engineering and Machine Learning
- Focus on Sustainability and Circular Economy
- Advancements in Process Intensification
- Sustainable Separation Processes and Membrane Technology
- Teaching and Mentorship
- Industry and Community Engagement
- Grant Writing and Research Funding
Salary
- Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 11 (min. €4,537,- max. €6,209,- gross per month).
- A year-end bonus of 8.3% and annual vacation pay of 8%.
- A dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
- High-quality training programs for academic leadership and teaching.
- An excellent technical infrastructure, on-campus children’s day care and sports facilities.
- Partially paid parental leave and an allowance for commuting, working from home and internet costs.
- A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.
Job Requirements
- Ph.D. in Chemical Engineering, Process Systems Engineering, or a related field, with a strong focus on machine learning applications.
- Proven expertise in process modeling, optimization, and control using machine learning.
- Demonstrated research accomplishments in sustainability, circular economy, process intensification, or separation processes.
- Experience in teaching at the university level and a commitment to student mentorship.
- Strong publication record in reputable journals and a track record of securing research funding.
- Strong mathematical skills.
- Strong cooperation skills and ability to work in an interdisciplinary team.
- Effective communication and leadership skills, including coaching and mentoring of students and staff, leading a project or chairing a group.
- Excellent (written and verbal) proficiency in English.
Application Process
Interested applicants are welcome to submit applications which include:
- Cover letter in which they describe their motivation and qualifications for the position.
- Curriculum vitae, including a list of publications and the contact information of three references.
- Description of their scientific interests and plans (1-2 pages).
- Statement of their teaching goals and experience (1-2 pages).
To apply for the Assistant Professor On machine learning process system engineering, click here
Deadline: April 13, 2025
For more information on the Assistant Professor On machine learning process system engineering, visit the official site
