Postdoctoral Researcher – Research Data Management in Energy Storage

UChicago Argonne; Lemont (IL); On-site; USD 70,000 - 111,000; Full time

Job summary

An innovative research initiative seeks a predoctoral/postdoctoral researcher to manage data activities in energy storage research. This role involves collaborating with a diverse team of researchers to develop data management strategies and protocols, ensuring effective data sharing and accessibility. The ideal candidate will have a strong background in energy storage, proficiency in Python, and experience with various data management tools. Join a dynamic team at the forefront of scientific discovery and contribute to advancing sustainable energy solutions. This position offers a unique opportunity to impact the future of energy storage technologies.

Qualifications

• Experience in energy storage research is required.
• Proficiency in Python programming is essential.

Responsibilities

• Manage and coordinate data activities across ESRA.
• Develop and implement data management strategies.

Skills

Python programming

Communication skills

Collaboration skills

Energy storage research

Data management tools

Education

Master's in Materials Science

PhD in Chemistry

Coursework in Computer Science

Coursework in Data Science

Tools

Git/GitHub

Pandas

Globus

Docker

PostgreSQL

MongoDB

Milvus

Job description

The Energy Storage Research Alliance (ESRA, https://energystoragera.org/) is a US Department of Energy funded collaborative research project led by Argonne National Laboratory and involving 14 partner organizations. ESRA targets the fundamental science of beyond-Li-ion energy storage technologies with the aim to improve their capacity, durability, and sustainability. ESRA has an immediate opening for a predoctoral/postdoctoral researcher position in research data management.

Position Overview

The candidate will manage and coordinate data activities across ESRA. You will work closely with researchers including laboratory scientists, professors, postdoctoral researchers, and students, to facilitate the use of data management tools, develop data sharing protocols, and assist in the curation and open access of datasets.

Key Responsibilities

• Develop and implement data management strategies to support research activities across multiple institutions.
• Collaborate with researchers to establish data management tools and workflows.
• Work closely with ESRA management and PIs to establish data sharing and accessibility protocols and tools.
• Provide training and support to researchers on data management tools and best practices.
• Stay updated with the latest advancements in data management technologies and methodologies.

Position Requirements

• Experience in energy storage research, from an experimental (electrochemistry, materials synthesis, or characterization) or computational simulations perspective, is required.
• Proficiency in Python programming is required. Familiarity with REST APIs is desirable.
• Master’s (predoctoral) or PhD (postdoctoral) in Materials Science, Chemistry, Physics, or related area is required. Coursework in computer science or data science is desirable.
• Familiarity with research data management tools (examples include: Git/GitHub, Pandas, Globus, Docker, Dryad, PostgreSQL, MongoDB, and Milvus) is desirable.
• Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team, is required.

Job Family: Postdoctoral

Job Profile: Postdoctoral Appointee

Worker Type: Long-Term (Fixed Term)

Time Type: Full time

The expected hiring range for this position is $70,758.00 - $110,379.55.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

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