Postdoc Position in Predicting and Designing Olfactory Molecules

Faculteit/Dienst: Faculteit der Natuurw., Wiskunde & Informatica

Opleidingsniveau: Gepromoveerd

Functie type: Wetenschappelijk Personeel

Sluitingsdatum: 23 september 2024

Vacaturenummer: 13386

• catch up on the necessary background knowledge on the topic from a biological and chemical point of view, gather all relevant literature and available datasets on olfactory molecules, do basic data exploration, visualization and presentations;
• develop and apply machine learning algorithms on the datasets that allow for the extraction of the relevant geometric and chemical predictive features of the olfactory molecules that are associated with certain properties like odor, smell and receptor interactions, etc.;
• publish results in relevant international journals in the application;
• present noval developed tools at relevant international machine learning conferences. For the latter task a good understanding of the recent developments in machine learning, deep learning, artificial intelligence and their applications to the sciences is key.

• a Ph D in data science, machine learning, artificial intelligence, computational statistics, etc., or a Ph D in another natural science plus substantial experience in the former topics;
• a good understanding of the recent developments in machine learning, deep learning, artificial intelligence and their applications to the sciences;
• a committed researcher, demonstrated by publications in international, peer-reviewed academic journals and/or conferences;
• both the ability to work independently and to work in a team are essential;
• excellent English skills.

• 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;
• a complete educational program for Ph D students;
• 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 Uv A pays two third part of the contribution;
• the possibility to follow courses to learn Dutch.

• Prof. Astrid Groot, Institute for Biodiversity and Ecosystem Dynamics (IBED), a.t.groot@uva.nl
• Prof. Jo Ellis-Monaghan, Korteweg-de Vries Institute for Mathematics (Kd VI), j.a.ellismonaghan@uva.nl
• Dr. Saer Samanipour, Van 't Hoff Institute for Molecular Sciences (HIMS), s.samanipour@uva.nl
• Dr. Patrick Forré, Informatics Institute (Iv I), p.d.forre@uva.nl

• a detailed CV including:
  • your education and employment background (please use months, not just years, to indicate durations);
  • your publications;
  • any grants, awards, or recognitions;
  • your teaching experiences.
• a letter of motivation, not to exceed one page, describing your motivation for this position and how your background particularly suits you for it;
• a one page research statement;
• the names and email addresses of two references who can provide letters of recommendation.

The Uv A is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.

No agencies please.