Professorship in Technology, Data, and AI (M/F/D) (100%)

Be aware that this position is completely Remote but our working hours are Central European Time (+/- 2h)

Tomorrow University is a next generation University for Impactful Careers.

In our transition to a sustainable society, education is the crucial lever. That’s why we build a university that educates and empowers the change makers of tomorrow. We deliver accredited degree programs designed to build up 21st century competencies and provide a world-class network of experts to set our learners up for impact. A remote-first learning environment driven by technology and AI enables flexible and personalized learning from wherever you are.

We are the first EdTech startup in Europe with a full state-recognized university license and are proud to be one of the Top 20 EdTech startups in the world.

Our inspiration

We firmly believe that the key to transforming education lies in reimagining how we teach. At Tomorrow University, we're breaking away from the old, teacher-centered model of traditional universities, and we're embracing a student-centric approach. Our aim is to provide our students with a unique opportunity to acquire essential skills and a mindset that will enable them to create global impact through a vast network of change-makers.

Our mission

At Tomorrow’s University, we leverage science and technology for effective learning and foster a global community for continuous growth and impact. With us, students learn by applying their knowledge to real-life challenges and interacting with world-class educators, mentors, and partners from all around the world.

Role Overview

We are looking to fill one full-time professor position to support our degree programs. The role holder will have expertise in  the fields of AI, Data Science or Machine Learning while additional experience or interest in the field sustainability or entrepreneurship will be considered a plus. We are looking for candidates who have expertise in fostering responsible innovation and inspiring future leaders through their teaching and research. In this role, you will also be expected to take on program director responsibilities for our BSc in AI & Sustainable Technologies programme which consists of owning the programme syllabus as well as overseeing the success and satisfaction of the learners. You will also become part of the founding academic team, taking initiatives to create and carry out your own projects from day one.

JOB RESPONSIBILITIES:

Program director responsibilities:

• Contributing to the recruitment of students as well as introducing and onboarding students to the program
• Developing the program vision and hence curriculum 
• Sourcing, appointing, and supervising Challenge Owners, ensuring that they deliver challenges in a way that is consistent with the ToU pedagogy
• Ensuring the quality of the program and liaising with accrediting bodies as appropriate
• Contributing to the identification of and collaboration with external partners, ambassadors, and mentors
• Being close to  learners  and supporting them to succeed throughout their journey

Professorship Responsibilities:

• Course development and program management
• Planning, content creation, and delivery of introductory and advanced asynchronous courses with synchronous teaching components in the fields of  AI, data science and machine learning.
• Advising, supporting, and supervising students
• Developing appropriate assessment instruments and criteria, assessing the work and progress of students according to the criteria, and providing constructive feedback to students
• Supervising student projects, challenges, and bachelor’s and master’s theses
• Establishing partnerships with companies and research institutions
• Planning and implementation of research projects including publication activities, ideally focused on the acquisition of third-party funding

YOUR PROFILE:

• A learner-centric attitude, first and foremost. Proven experience in creating and conducting courses in English in the relevant fields, with experience in both asynchronous content creation and strength in live delivery facilitation.
• Excellent interpersonal and communication skills with the ability to build and maintain relationships with internal and external stakeholders but especially learners and alumni.
• Creative and entrepreneurial problem-solver interested to join a startup and have their own impact. Experience in a start-up environment and in multi-project management is desirable.
• Demonstrated ability to take radical responsibility and thrive in a dynamic startup environment, with a proactive curious mindset, resilience in the face of ambiguity, and courage to embrace challenges as opportunities for growth and innovation.
• Completed relevant university studies (in the fields of Computer Science, Data, Physics, Engineering etc)
• Fulfilment of the minimum requirements for the employment of professors according to §68 HHG (Hessian Higher Education Act)
  • Successfully completed doctorate (Ph.D.) in the field of Data, Machine Learning or AI or a relevant field
  • Qualified professional experience of at least five years (after completion of the master’s degree, ideally after completion of the Ph.D.), three of which must have been gained outside of academic institutions

Our Benefits:

• 
  Work wherever you are and whenever you want: Our flexible work environment will give you the freedom to work from everywhere and whenever you want. The company will cover co-working space costs to meet, mingle and work in different locations;
• Grow and develop yourself: Every teammate can learn for free at Tomorrow University plus we have a needs-based budget approach. We fund proper resources on training, mentoring, and books to provide relevant knowledge and support the professional development of our employees;
• Travel the world with us: Twice per year, the whole team meets for a 1-week Workation at a different place around Europe;
• 25 days of Vacation plus public holidays based on where you are located;
• Well-being and Team building activities such as online Yoga Classes, online Coffee breaks, Informal Friday drinks sessions, and much more!