RSS Feed Source: Academic Keys

Junior/Assistant Specialist – Department of Nuclear Engineering

Position overview
Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t24-b.pdf The current full-time base salary range for this position is $55,000 – $70,700. “Off-scale” salaries, which yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.

Percent time: 100%

Anticipated start: February/March 2026

Position duration: 1 year with possibility of renewal depending on availability of funding and satisfactory performance

Application Window
Open date: November 25, 2025

Next review date: Tuesday, Dec 9, 2025 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Friday, Dec 26, 2025 at 11:59pm (Pacific Time)
Applications will continue to

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RSS Feed Source: Academic Keys

UC Davis College of Engineering

Assistant Professor in Materials Science and Engineering

Salary range: “Off-scale salaries” and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience. A reasonable estimated salary range for this position is $131,600-$147,900, inclusive of the salary scale and off-scale salary components.

Description

The Department of Materials Science and Engineering at UC Davis invites applications for a tenure-track Assistant Professor faculty position in the area of computational materials science with interests that may include, but are not limited to, quantum materials, multiscale modeling, and data-driven design of materials. Experience with the use of machine learning or artificial intelligence is desirable but not required. This search is part of UC Davis’ commitment to hiring leading research faculty with

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Job ID: 268775

Research Fellow (Power Grids)
Nanyang Technological University

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialization and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications

We are looking for a Research Fellow to conduct research. The role will focus on power grids.

Key Responsibilities:

Conducting research in the area of power grid in the context of decarbonization

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Assistant Professor or Associate Professor – Electrical & Computer Engineerin

Tenure Track Faculty Position

The UNC Charlotte Department of Electrical and Computer Engineering (ECE) invites applications for a tenure-track Assistant or Associate Professor starting in August 2026 for position #001808. While candidates with expertise in all areas of electrical and computer engineering will be considered, particular emphasis is on computer systems and design aspects that enable real-world AI applications, including hardware-software co-design for machine learning, learning-enabled computer architectures, cloud and edge computing, hardware security, embedded systems, and systems software. Candidates with collaborative research focus are encouraged.

Candidates should be committed to excellence in teaching at the undergraduate and graduate levels, development of high-impact sponsored research programs, supervision of student research, student mentoring, and academic services. Priority will be given to candidates having original and promising research as demonstrated by peer-reviewed publications, potential for success

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