Open Positions in Data Science and AI at Tel Aviv University

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.  

Requirements:

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:

https://tinyurl.com/tasmc-cmcm

Interested parties should send a current CV and contact information for potential references to: cmcm@tlvmc.gov.il 

Please place "research engineer" in the subject line.

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

Responsibilities:

• 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.

Requirements:

• 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 ruthbarshir@tauex.tau.ac.il

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.

Please send a one-page letter of interest, sample code doing text analysis, and a CV to pbalan@tauex.tau.ac.il and juan_pedro_ronoconi@brown.edu with the subject "Research Assistant".

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: hadasmg@tauex.tau.ac.il (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: nirsa@tauex.tau.ac.il