Machine Learning Intern (f/m/d) - Materials Informatics für Berlin gesucht
Arbeits- und Stellenangebot im Regiobizz Arbeitsmarkt
Job Kategorie: Chemie Medizin/Pharma/Pflege
Stellenangebot Basisdaten
- Arbeitsort:
-
DE 10407 Berlin
- Umkreis:
-
keine Angabe.
- Art der Arbeitsstelle:
-
- Letze Aktualisierung:
-
05.01.20252025-01-05
Stellenausschreibung: Machine Learning Intern (f/m/d) - Materials Informatics
- Arbeitgeber bzw.
Arbeitsvermittler
-
Dunia Innovations in Hamburg
- Branche
-
Chemie
- Kategorie
-
Medizin/Pharma/Pflege
- Stellenbeschreibung
- Intro Your Role In the rapidly advancing field of material science,
accurately predicting the early lifetime and structural stability of
catalysts is crucial for applications in energy storage, sensors, and
catalysis. Traditional methods of evaluating catalyst stability are
often time-consuming and costly. Graph Neural Networks (GNNs), which
can model complex relationships between atoms in a material, offer a
groundbreaking approach to predict these properties effectively. At
Dunia, we are pioneering the integration of GNNs with material
informatics to accelerate the discovery and optimization of catalysts
with enhanced stability and performance. This internship presents a
unique opportunity to contribute to cutting-edge research focused on
predicting the early lifetime and stability of catalyst structures,
utilizing advanced artificial intelligence (AI) techniques. Our
company Dunia is at the forefront of the race to create a sustainable
future for our planet. With a mission to invent breakthrough clean
energy materials, we use the latest AI tools and chemical robots
combined with our scientific expertise to build a "self-driving
laboratory” that can discover new active materials faster than ever
before. Targeting the toughest industry sectors such as shipping and
aviation, we are developing sustainable processes to reduce CO2
emissions by over 2.1 billion tons per year. We named our company
'Dunia', because it means 'world' in over 20 languages. We want to
both positively impact the world AND create an inclusive environment
where the world’s brightest come together to solve humanity's
biggest challenges. Tasks Develop and apply i.a. Graph Neural Network
models aimed at predicting the early lifetime and structural stability
of catalysts. Identify and define new descriptors for catalysts that
can be integrated into these models, thereby enhancing their
prediction accuracy. Apply data mining techniques to explore trends,
patterns, and correlations within the database, ultimately developing
predictive models for screening new catalyst compositions. Documente
your research process, methodologies, and results, and expect to
prepare detailed reports and presentations to effectively communicate
your findings to the research team and broader audience. Collaboration
will be key, as you will work closely with other researchers, data
scientists, and engineers to integrate material informatics approaches
into ongoing projects. Participate in team meetings, seminars, and
workshops, where you will have the opportunity to share your knowledge
and learn from others. Requirements We are looking for a motivated and
enthusiastic intern with a passion for AI4Science and AI4Climate The
ideal candidate will be currently pursuing a Master's or PhD degree in
Computer Science, Materials Informatics, Chemistry, Physics,
Computational Science, or a related field. Good level in programming
as well as basic understanding of machine learning or graph theory is
expected. Experience in material modeling, computational chemistry
would be a plus. Benefits 30 days paid holiday Design your own perks
️♀️ Mentorship to help you grow into the roles you want
Awesome colleagues & regular company events Flexible working hours &
hybrid working ☕ Aiding the process of VISA application for non-EU
citizens Closing Do not worry if you do not tick all the boxes. Do not
exclude yourself from amazing opportunities by not applying. We strive
to create a diverse and inclusive workplace where everyone feels
welcome and safe to be their authentic self. Non-traditional career
paths are welcome and valued. If you share our vision, you can be
certain that we want you to succeed. You might be just the right
candidate for this or for other roles that have not opened yet. Reach
out!
- Qualifikation
- Arbeitskräfte
- Verdienst:
- n.a.
- Bewerbung an
- Dunia Innovations
Am Strandkai 1
De 20457 Hamburg
Stellenangebot powered by
Die Veröffentlichung dieses Stellenangebotes bei regiobizz.de erfolgt mit freundlicher Genehmigung von GermanPersonnel im Namen des Stellenanbieters. Eine gewerbliche Nutzung dieser Daten sowie deren Veröffentlichung in jeder Form ist ohne ausdrückliche Genehmigung von GermanPersonnel strengstens untersagt.