Student Lab Researcher - Climate & Soil Analytics

LBL; California; Presencial; USD 27.000 - 71.000; A tiempo parcial

Descripción de la vacante

Lawrence Berkeley National Laboratory in Berkeley, California, invites applications from undergraduates in chemistry, biology, geosciences, or closely related fields for two Student Assistant positions in the Climate & Ecosystem Sciences Division.

You will support the Watershed Function Scientific Focus Area and CHESS campaign in Colorado’s Rocky Mountains by performing lab tasks, data entry, and exploring AI tools for literature synthesis, with hands-on learning and opportunities to contribute

Formación

• Undergraduate study in chemistry, biology, geosciences, or related field.
• Ability to follow established lab procedures and learn new techniques.
• Commitment to lab safety and accurate record-keeping.
• Interest in data quality control and basic statistics.

Responsabilidades

• Perform basic laboratory procedures including pipetting, titrations, microscopy, and centrifugation.
• Prepare chemical solutions and reagents with correct molarity and stoichiometry.
• Conduct soil texture and hydraulic parameter analysis.
• Use spectroscopy and pH meters; perform DNA/RNA extraction from soil.
• Learn AI methods to organize and synthesize literature.
• Maintain inventories and document lab data.

Conocimientos

Follow lab procedures

Attention to detail

Communication & teamwork

Time management

Learn new lab techniques

Data quality control

Basic statistics

AI literature tools exploration

Educación

Undergraduate in chemistry/biology/geosciences

Herramientas

Spectrophotometers

pH meters

Microscopy

Descripción del empleo

Lawrence Berkeley National Laboratory in Berkeley, California, invites applications from undergraduates in chemistry, biology, geosciences, or closely related fields for two Student Assistant positions in the Climate & Ecosystem Sciences Division.

You will support the Watershed Function Scientific Focus Area and CHESS campaign in Colorado’s Rocky Mountains by performing lab tasks, data entry, and exploring AI tools for literature synthesis, with hands-on learning and opportunities to contribute