Data Modeling Analyst

The Applied Materials Division (AMD) at Argonne National Laboratory conducts applied research to develop sustainable innovative technologies to improve the efficiency of resource and energy utilization; to minimize our dependence on imported energy; and to enhance our national security.

A Sustainable Materials & Processes Data Modeling and Analysis Lead position is now open for an energetic candidate with leadership skills and experience in process modeling and techno-economic analysis (TEA). In this role, the successful candidate will collaborate closely with the group leader, department manager, division director, project/thought leaders, and a dedicated team of experts to support the Sustainable Materials and Processes Department in pursuing AMD’s missions and strategies. The candidate will act as Principal Investigator to manage and expand the portfolio of research projects by interacting with DOE program managers, and collaborating across Argonne, national laboratories, universities, and industry. The candidate will work closely with project leads to plan and execute projects to deliver to stakeholders, including managing budgets and financial responsibilities. The candidate will also support outreach at the lab and will promote project collaboration with other groups at Argonne across divisions.

More specifically, this candidate will play a key role in developing and expanding capabilities for data modeling and analysis in the Sustainable Materials and Processes Department. The focus of the group is modeling and analysis of recycling and other decarbonization and circularity focused materials, processes, and technologies. A good knowledge of conceptual process design, simulation, and optimization, process integration and intensification, and energy system optimization is of importance. The candidate should be familiar with databases, tools, and methodologies relevant to process modeling and TEA. 

Position Requirements

• A proven record of conceptual process design and plant layout, economics analysis of sustainable materials and processes for circular economy.  

• Ability to identify new research areas, develop market proposals, and build trusted sponsor relationships.

• Experience leading interdisciplinary research projects and the ability to lead a team involving multi-disciplinary scientists and engineers at all experience levels.

• Project management experience/skills and the ability to solve problems independently.

• Proven track record of collaboration with industry on R&D projects.

• Collaborative skills, including the ability to work well with other scientists and engineers of diverse backgrounds within Argonne, and at other research or industry institutions and organizations.

• Demonstration of leadership skills.

• Knowledge of Microsoft Excel and good computer programming skills.

• Knowledge of process modeling and techno-economic analysis.

• Understanding of decarbonization technologies, their supply chains and recycling processes.

• Knowledge of Aspen Plus or other chemical engineering commercial process simulators.

• Ability to work well alone and within a team of experts in various areas of expertise.

• Skilled in oral and written communications with peers, colleagues, and collaborators.

• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.

• Ability to make our laboratory a safe, welcoming, inclusive, and accessible environment where all can thrive.

• This position requires an on-site presence at the Argonne campus in Lemont, Illinois.

The selected candidate will be placed at the appropriate level (RD3 or RD4) depending upon depth and breadth of relevant knowledge, skills, and experience brought to the position.  The requirements for the desired levels are as follows:

RD3:  Bachelor’s and 8+ years, or Master’s and 5+ years, or Doctorate and 4+0 years

RD4:  Bachelor’s and 12+ years, or Master’s and 7+ years, or Doctorate and 6+0 years

Job Family

Research Development (RD)

Job Profile

Chemical Engineering 3

Worker Type

Regular

Time Type

Full time

The expected hiring range for this position is $109,922.00 - $175,605.30.

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 compara