Sciencepreneurship Summer School 2024: Sustainability & AI

Sciencepreneurship Summer School 2024: Sustainability & AI

Sciencepreneurship Summer School 2024: Sustainability & AI

April 29 – May 3, 2024 ― Lausanne, Switzerland
Rolling admissions – deadline March 22, 2024
A week-long summer school of talks, workshops, and socials on turning scientific innovation into societal impact through entrepreneurship.

    accomodation included | travel grants available | course credit (1 ECTS)


    The aim of this summer school is to address the following questions by sharing knowledge, experiences, and pitfalls about how to transform scientific advances into societal impact through entrepreneurship:

    • How can science be directly valuable for society and scale from lab to market?
    • How to get and choose the right team, funding, advisors, and legal setup?
    • What are common pitfalls in this process, and how to avoid them?

    The program of this summer school is tailored to provide the participants with a framework to develop the societal impact of scientific advances.

    • First, participants present a scientific innovation and form co-founding teams. 👩‍🔬🧑‍🔬
    • Then, putting the school its lectures, workshops, and socials into practice, teams shape their science-based business. 🚀
    • Finally, participants pitch their work to a jury, receive feedback, and compete for a prize. 🏆

    Entrepreneurial graduate students from any institute

    The Sciencepreneurship Summer School focuses on enhancing the exchange between entrepreneurially interested graduate students – mainly PhD students – from EPFL, ETH Zurich, and other leading institutes from around the world. Participation is highly competitive and the total number of participants is limited with admissions on a rolling basis.

    The organizing committee is committed to creating a diverse and inclusive summer school. We encourage all students with an interest to apply. If you have any questions regarding eligibility, feel free to reach out.

    Got any questions? You can reach us on

    AIDA Semester Course : Statistical Methods for Machine Learning

    AIDA Semester Course : Statistical Methods for Machine Learning

    AIDA Semester Course : Statistical Methods for Machine Learning

    The International AI Doctoral Academy (AIDA) invites you to attend the upcoming semester course by Prof. Nicolo Cesa-Bianchi:

    Statistical Methods for Machine Learning

    This is a course about the theoretical foundations of machine learning and the analysis of machine learning algorithms. The focus is on understanding the mathematical principles at the basis of machine learning.

    Host InstitutionUniversità degli Studi di Milano

    Level: Graduate

    Period: 4 March 2024 –  4 June 2024 

    Course attendance will be asynchronous in English

    Both AIDA and non-AIDA students are encouraged to participate in this course for free (Maximal registrant number: 10 students)  

    The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4MediaELISEHumane AI NetTAILORVISION, supports a world-level AI education and research program. AIDA has regular lecture series, short courses, semester courses, and summer schools with the participation of hundreds of academics and serving a growing community of AI PhD students and researchers.

    How to apply:

    If you are an AIDA Student* already, please:

    •  Step (a): Register in the course by sending an email to the Course Lecturer ( for your registration. AND
    •  Step (b): Enroll in the same course in the AIDA course link using the ‘Enroll on this course’ button therein, so that this course enters your AIDA Certificate of Course Attendance. If you are not an AIDA Student do only step (a). 

    *AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members.

    #Opportunity: Postdoctoral Researcher in AI for Sustainability – University of Amsterdam (UvA)

    #Opportunity: Postdoctoral Researcher in AI for Sustainability – University of Amsterdam (UvA)

    Postdoctoral Researcher in AI for Sustainability at the University of Amsterdam

    Amsterdam Machine Learning Lab (AMLab)

    Duration: 2 years (starting winter 2024)

    The University of Amsterdam (UvA) is recruiting a postdoctoral researcher in AI for sustainability. AI has a tremendous potential for accelerating the development of sustainable technologies. Realising this potential requires fundamental research to develop new AI methods for the design and modelling of physical systems as well as translational research to adapt inventions to practical use cases.

    This work contributes to the European Lighthouse of AI for Sustainability (ELIAS). ELIAS will accelerate the development of AI-driven methods for computational design, data-driven simulations, as well as the development of neural networks for fast approximation of scientific computations (e.g., to accelerate climate simulations). ELIAS will also focus on devising new approaches for reducing the energy requirements of AI systems. 


    • Develop AI methods for computational design, by combining techniques for:
      • Bayesian optimisation and experiment design;
      • Probabilistic programming and simulation-based inference;
      • Development of data-efficient neural surrogate models;
    • Present your research by contributing to international conferences, workshops, and journals;
    • Actively participate in activities for the ELIAS and ELLIS networks;
    • Assist in teaching activities: teaching courses; supervising master and PhD students.


    • PhD in Machine Learning, Statistics, Computer Science, Mathematics, or a related field;
    • Experience in programming and software development. Familiarity with Python and statistical computing libraries (e.g. NumPy, PyTorch, JAX) is preferred;
    • Enthusiasm for the scientific process: formulating and conducting experiments, data collection and analysis, disseminating findings via writing and oral presentations;
    • Ability to cooperate and work effectively within a team;
    • Fluency in English, both written and spoken.


    UvA offers a temporary employment contract for 38 hours per week for a period of 24 months. The preferred starting date is as soon as possible.

    The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,226 to € 5,090 (scale 10). UvA additionally offers an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%. The UFO profile Researcher 4 is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.

     Besides the salary and a vibrant and challenging environment at Science Park, UvA offer you multiple fringe benefits:

    • 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January;
    • Multiple courses to follow from our Teaching and Learning Centre;
    • Multiple courses on topics such as leadership for academic staff;
    • Multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses;
    • 7 weeks birth leave (partner leave) with 100% salary;
    • Partly paid parental leave;
    • The possibility to set up a workplace at home;
    • A pension at ABP for which UvA pays two third part of the contribution;
    • The possibility to follow courses to learn Dutch;
    • Help with housing for a studio or small apartment when you’re moving from abroad.

    About UvA

    The University of Amsterdam (UvA) is the Netherlands’ largest university, offering the widest range of academic programmes. At the UvA, 42,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity.

     The Faculty of Science (FNWI) has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.

     The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. The research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.

     You will be working within the Amsterdam Machine Learning Lab (AMLab) which conducts research in the area of large scale modelling of complex data sources. This includes the development of new methods for probabilistic graphical models and non-parametric Bayesian models, the development of faster (approximate) inference and learning methods, deep learning, causal inference, reinforcement learning and multi-agent systems and the application of all of the above to large scale data domains in science and industry (‘Big Data problems’). AMLab is co-directed by Max Welling and Jan-Willem van de Meent. AMLab positions itself in the AI research theme, and also with clear links to the Data Science theme of the Informatics Institute.

    How to apply:

    Interested candidates should submit their application in a single PDF by 04.02.2024 including the following information:

    • A curriculum vitae, including a list of publications (with hyperlinks);
    • A research statement describing your interests and research trajectory;
    • The names and contact information of at least two academic references (please do not include the letters themselves);
    • Optional: A letter providing any additional information not sufficiently highlighted by the other materials. For instance, the letter could describe how Covid-19 has affected productivity.

    You can use the CV field to upload your resume as a separate pdf document. Use the Cover Letter field to upload the other requested documents, including the motivation letter, as one single pdf file.

     A knowledge security check can be part of the selection procedure.
    (for details: National knowledge security guidelines).

    Need more details or have questions?

    Contact: Jan-Willem van de Meent, Associate Professor (UHD)

    ✉️ Email:

    The new ELLIS call for Fellows & Scholars is open!

    The new ELLIS call for Fellows & Scholars is open!

    The new ELLIS call for Fellows & Scholars is open!

    How to apply:

    The deadline for nominations is 1 March 2024. Please note that nominations are only possible through the directors of ELLIS Programs and ELLIS Units – people interested in applying should therefore contact the respective directors directly.

    You will find more information about the guidelines for evaluating scientific excellence for Fellow/Scholar nominations here.

    #Opportunity: Postdoctoral Position on Multimodal Narrative Analysis at the University of Copenhagen

    #Opportunity: Postdoctoral Position on Multimodal Narrative Analysis at the University of Copenhagen

    Postdoctoral position on Multimodal Narrative Analysis 

    Duration: 2 years (starting September 2024)

    The Department of Computer Science  (DIKU) at the University of Copenhagen

    The Department of Computer Science  (DIKU) at the University of Copenhagen invites application for a 2-year postdoctoral full-time research position in the domain of Machine Learning for narrative analysis, drawing upon methods from NLP and Computer Vision.

    We are looking for a candidate with a solid background in Machine Learning and intellectual curiosity in fact-checking, deep-fakes, and/or disinformation. Knowledge in topic modeling, argument mining, visual question answering, and sentiment analysis is a plus. Successful candidates must have demonstrated their ability to publish in top tier venues, such as NeurIPS, ICLR, CVPR, and/or EMNLP.

    Inquiries about the position can be made to Prof. Serge Belongie,

    The position is for 24 months and open from 1 September 2024, or as soon as possible thereafter.

    The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

    Working environment

    The research is part of the Horizon Europe European Lighthouse of AI for Sustainability (ELIAS) project and will be conducted in collaboration with researchers at the Pioneer Centre for Artificial Intelligence.

    You will be part of both the Pioneer Centre for AI and DIKU, offering a vibrant, international research community working across disciplines. DIKU is a member of the ELLIS unit Copenhagen, and Prof. Belongie is an ELLIS Fellow and Board Member. DIKU and the Pioneer Centre for AI offer its researchers generous support for career development, own fundraising, travel, and visitors, as well as support for and access to computing facilities.

    International applicants

    The University of Copenhagen offers international researchers and their families a broad variety of services, such as support before and during relocation and career counselling to expat partners. Most international candidates qualify for a special foreign-researcher-tax scheme. Please find more information about these services as well as practical information on entering and working in Denmark here:

    Copenhagen is continuously ranked among the top-5 livable cities in the world with clean air, beautiful architecture, a rich cultural life and dedication to work-life balance and “hygge”. Employees are offered 6-weeks of vacation annually, generous parental leave and Copenhagen offers great childcare facilities, international schools and is a very family-friendly city.

    Terms of employment

    The position is covered by the Memorandum on Job Structure for Academic Staff.

    Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

    Negotiation for salary supplement is possible.

    How to apply:

    The application, in English, must be submitted electronically by clicking APPLY NOW below. Please include:

    • Curriculum vitae
    • Diplomas (copy of Master and PhD degree certificate or equivalent)
    • Research plan – description of current and future research plans
    • Complete publication list

    The deadline for applications is 1 February 2024, 23:59 GMT +1.

    After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

    Interviews will be held in early March.

    You can read about the recruitment process at

    #Opportunity: Entrepreneurship Project Coordinator – Tübingen AI Center

    #Opportunity: Entrepreneurship Project Coordinator – Tübingen AI Center

    Entrepreneurship Project Coordinator

    (m/f/d, E 13 TV-L, 100%)

    Duration: 4 years (starting autumn 2023)

     The Tübingen AI Center – a thriving national hub for artificial intelligence research at the University of Tübingen.

    About ELIAS:

    Funded by the European Union’s Horizon Europe program, ELIAS envisions propelling Europe to the forefront of Artificial Intelligence (AI) research that champions sustainable growth and innovation. ELIAS builds on and expands the successful and internationally recognized “European Laboratory for Learning and Intelligent Systems” (ELLIS Society), and is dedicated to pinpointing areas where AI can catalyze sustainable economic expansion that benefits society, the environment, and individuals. Next to fundamental science, an important endeavor of ELIAS, led by the Tübingen AI Center, is to foster entrepreneurship and technological transfer. A key initiative in this context is the establishment of the European Innovation Alliance (EIA), a coalition of leading AI innovation partners, aimed at nurturing talent and spawning transformative AI startups and sustainable tech solutions.


    • Establish and coordinate the European Innovation Alliance (EIA), orchestrating collaborations amongst 20 seminal partners focused on deep tech AI, sustainability ventures, and an open-source research community on foundation models and generative AI
    • Comprehensive management and oversight of the EU project work package, including financial and administrative dimensions
    • Liaising with project partners and overseeing the progress made by the collaborators of this work package on establishing a transformative technology summer school, increasing the visibility of tech transfer among students and mentors in the ELLIS PhD program, developing a start-up internship program, organizing hackathons and an open call to SMEs
    • Documenting relevant statistics and creating project status reports
    • Representing the project in meetings and acting as the main liaison for EIA network partners, sponsors, and the public
    • Organization of conferences, workshops, and project meetings
    • Public relations work for the EIA (website, social media, policy briefings)


    • Advanced university degree (MSc or PhD)
    • Candidates should meet several of the following competencies:
      • English proficiency in both written and spoken forms; German proficiency is a valuable addition.
      • Experience in network establishment and partner management.
      • Experience with technology transfer and spin-offs from academic or private research environments
      • Acumen in the selection of EIA partners based on their excellence in deep tech entrepreneurship around AI and sustainability
      • Aptitude for creating a partner networks’ representation for the EIA (e.g., website or newsletter)
      • Prior experience with university-associated third-party funding administration
      • Great communication, teamwork, and organizational skills
      • Familiarity with EU project management and associated reporting would be a significant advantage


    Join us in navigating an international landscape to build a strong alliance for “AI made in Europe”. Collaborate closely with a diverse team of researchers, students, and professionals, all united in the vision of unlocking a new wave of entrepreneurship across Europe on AI and sustainability. Compensation aligns with the public service sector’s collective agreement (TV-L), including comprehensive social benefits and a public transportation subsidy. Additionally, co-appointments with industry stakeholders, such as incubators, are encouraged and supported.

    The University of Tübingen is committed to equal opportunity and diversity and takes individual life situations into account. The university wishes to increase the number of women in leadership positions and strongly encourages qualified women to apply. Applications from equally qualified candidates with disabilities will be given preference. The position can be shared. Employment processes are managed by the University of Tübingen’s central administration.

    How to apply:

    Interested candidates should send their application (cover letter, CV, and relevant certificates) in a single PDF by 30.10.2023 to with the subject “Application: Entrepreneurship Project Coordinator”.

    Informal enquiries may be addressed to