Open Positions in Data Science and AI at Tel Aviv University
We are a new research group working on Machine Learning for Structural Biology.
Our research focuses on the development of Machine Learning algorithms for elucidating the relationship between the sequence, structure, function, and evolution of proteins. We then apply these tools to identify functional sites in proteins, assess the impact of mutations on function and design new proteins.
More information is available on my webpage: https://jertubiana.github.io
Looking for one Bioinformatics/ Computer Science M.Sc. student to develop and apply machine learning algorithms for structural biology.
If you are interested, please send your C.V. and grade transcripts to firstname.lastname@example.org
Full Time Position Available
The Center for the Study of Movement, Cognition and Mobility (CMCM) in the Neurological Institute at the Tel Aviv Sourasky Medical Center (“Ichilov”) is looking to hire a research engineer or computer scientist.
The candidate will be responsible for developing and applying signal processing and machine learning methods to metrics based on physiological signals and wearable devices such as acceleration, gyroscope, EEG, fNIRS, and imaging data. Using wearable devices, the CMCM aims to better quantify gait, balance, movement, cognition, and related physiological properties in healthy adults and in disease populations (e.g., Parkinson’s disease, Alzheimer’s, stroke, fallers), to enhance diagnostic accuracy, and to improve the sensitivity and specificity of monitoring disease progression.
The person will also help support new and ongoing cutting-edge lab projects, provide assistance and guidance to students, and be encouraged to propose new research ideas, write peer-reviewed papers, and present his or her work at national and international conferences.
MSc or PhD in engineering, computer science, or a closely related field.
Programming experience in Matlab and/or Python.
Working knowledge of signal processing and time-series analyses is helpful.
Preference to someone who is research-oriented and excited to take on new and diverse challenges.
Good communication skills in English and Hebrew.
Knowledge of biomedical statistics is also helpful.
Willingness to commit to this position for at least 2 years.
For more information about the research activity at the center, please visit:
Interested parties should send a current CV and contact information for potential references to: email@example.com
Please place "research engineer" in the subject line.
Project funded by TAD and Google – Call for MSc /Ph.D. at Tel Aviv University Thesis students only
- Goal: Integration of an early warning system with changes in water quality resulting from floods and climate events
- Aim to develop a tool to assist authorities in preparing for flood events
- AI knowledge required for the project
- Advisors: Prof. Hadas Mamane (Environmental Engineering Program & TILabs) & Prof. Vered Blass (Environmental Studies)
Contact person: Ph.D. student Asaf Pras. Email: firstname.lastname@example.org
Job Summary: We are seeking a skilled and motivated Medical Data Engineer to join our team. The ideal candidate will have experience in Python programming, large databases and cloud computing.
The Medical Data Engineer will be responsible for working with large datasets, efficient data processing pipelines for analysis of medical data
- Manage access to large medical datasets
- Develop and maintain data pipelines for efficient data extraction and transformation.
- Handle the licensing process and technical aspects of obtaining access to medical datasets.
- Create tutorials and documentation to support users in analyzing and interpreting medical data.
- Strong proficiency in Python programming.
- Experience with SQL and working with relational databases.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) is an advantage.
- B.Sc in computer science is an advantage.
- Strong attention to detail and ability to work with complex datasets.
- Ability to work collaboratively in a team environment.
- Knowledge in biology or health sciences is an advantage
To apply, please submit your CV to email@example.com
The World Economic Forum and Tel Aviv University seek a Hoffmann Fellow for a two-year joint appointment for work at the intersection of buildings and climate change.
The Fellow will be based jointly at the World Economic Forum's Center in Geneva, Switzerland and the Porter School of the Environment and Earth Sciences at Tel Aviv University, Israel.
We are looking for a part-time research assistant to work on a series of projects involving natural language processing.
Task: The task involves text analysis/natural language processing of a corpus of texts, preferably using Python. The overall goal is to produce a rich description of the texts to get insights from the data. While some tasks are relatively standard, some of them involve creative ways of describing the data.
Qualifications: Master’s or bachelor’s students in economics or computer science. Proficiency in Python and previous experience with natural language processing/text analysis is required. Command of Stata is recommended but not required. Basic knowledge of Spanish is recommended.
Compensation: Competitive, according to qualifications.
The successful candidate will report directly to Pablo Balan and Juan Pedro Ronconi.
An ERC funded research project applying computational methods in developmental psychology research.
The study conducted in the School of Education will include development and adaptation of applications to identify value messages and value transmission strategies in mother-child interaction and in social media influencer interactions with children and adolescents. Research can include NLP, speech and interaction analysis, and video analysis.
We are looking for a data scientist interested in working in a multidisciplinary team, leading the integration of computer and social science research.
Graduates of Psychology, Education, Communication or Data Science are welcome to apply. Those combining skills across disciplines are especially encouraged.
Research funded by TAD and Google to develop an early warning system for changes in water quality due to floods and extreme climate events. In this study, we will apply ML and AI techniques to nowcast significant and dangerous changes in water quality.
The research will include multi-source data integration, such as real-time and in-situ water quality parameters and Google’s early warning flood system outputs that can be used to predict the impact of floods on users’ water quality.
Knowladge in AI, big data, and/or water quality are a plus.
For further details, please contact Prof. Hadas Mamane: firstname.lastname@example.org (email subject: Google & TAU PhD)
A Machine learning (ML) research project of electro-optical based plant phenotyping and breeding selection of crops aiming to discover optical characteristics of superior phenotypes of crops that can better survive climate change conditions and provide higher yields.
The research will include multi-source Data acquisition and ML analyses of hyperspectral (visible and IR) and Thermal images in correlation with additional abiotic and biotic parameters to discover optical traits that can be used for selecting superior phenotypes byplant breeders and seed companies' production control.
For further details please contact Dr. Nir Sade: email@example.com
Open positions for MSc and PhD students - Optical nanosensors for bio-inspired assemblies
We are looking to recruit talented students for a new multidisciplinary project combining single-walled carbon nanotube optical nanosensors and bio-inspired nanostructures.
Relevant background: Engineering, Life Science, Physics, or Chemistry.
Please see more details in the attached file.
If interested, please send your CV to firstname.lastname@example.org.