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equivalent combination of education and work experience). EXPERIENCE: 2+ years of experience in GPU computing, with a focus on performance optimization and parallel programming. Proficiency in GPU programming
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hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information
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libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications and machine learning. Integrate and benchmark the GINGKO library, a sparse solver
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Type: Full time Rate Type: Salary Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of
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Empire Innovation Professor (Associate Professor) Artificial Intelligence in Biomolecular and Drug D
to leverage AI for scientific discovery, addressing critical societal challenges in biotechnology, clean energy, and emerging technologies. Responsibilities include: Leading a well-funded research program in AI
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communication skills to lead research computing development and coordination across the university’s colleges and programs. The AVP RCD will be an entrepreneurial domain expert with a combination of vision
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VLMs and LLMs. Proven experience with high-performance computing, including GPU server setup and maintenance Programming Skills: Proficiency in Python and frameworks like PyTorch, TensorFlow, or Keras
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or dissertation project from the grade giving institution. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme. List of publications
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for scientific discovery, addressing critical societal challenges in biotechnology, clean energy, and emerging technologies. Responsibilities include: Leading a well-funded research program in AI-driven scientific
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group and develop an innovative and impactful research program, which includes, but is not limited to, population and evolutionary genetics, metagenomics, eDNA-based monitoring, and phylogenomics