Research Scientist - Construction Scheduling & Workforce Risk

AlphaX; Oregon; Ibrido; USD 120.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Assignments scoped individually with定o

Opportunities in proposals and awarded

Potential future AlphaGov engagements

Descrizione del lavoro

AlphaGov is seeking a Construction Research Scientist to support research and consulting on construction schedules, workforce capacity, labor costs, and project delivery risk.

The role focuses on evaluating delays, competing projects, and limited skilled labor to translate findings into practical recommendations for project leaders and clients.

Competenze

• PhD preferred in construction engineering, civil engineering, construction management, operations research, industrial engineering, or a related field.
• Experience with construction scheduling, resource allocation, project controls, or construction productivity research.
• Demonstrated experience with quantitative modeling, simulation, optimization, or statistical analysis.

Mansioni

• Analyze how project delays change workforce requirements, crew availability, and labor costs.
• Model resource constraints across multiple projects, including crews staying on one project longer than planned.
• Develop and test scheduling, simulation, and forecasting methods using historical project data.
• Evaluate alternatives such as resequencing work, reallocating crews, overtime, and subcontracting.
• Define data requirements, validation methods, and measurable research objectives.
• Contribute technical methods, work plans, and findings to proposals and client deliverables.

Conoscenze

Scheduling

Resource allocation

Quantitative modeling

Optimization

Statistical analysis

Communication to nontechnical leaders

Formazione

PhD or related field

Strumenti

Primavera P6

Descrizione del lavoro

AlphaGov is seeking a Construction Research Scientist to support research and consulting opportunities involving construction schedules, workforce capacity, labor costs, and project delivery risk.

We are looking for someone who can evaluate how delays, competing projects, and limited skilled labor affect a project’s cost and completion date—and translate those findings into practical recommendations.

Scope of Work

• Analyze how project delays change workforce requirements, crew availability, and labor costs.
• Model resource constraints across multiple projects, including situations where crews remain on one project longer than planned.
• Develop and test scheduling, simulation, and forecasting methods using historical project data.
• Evaluate alternatives such as resequencing work, reallocating crews, overtime, and subcontracting.
• Define data requirements, validation methods, and measurable research objectives.
• Contribute technical methods, work plans, and findings to proposals and client deliverables.

Requirements

• PhD preferred in construction engineering, civil engineering, construction management, operations research, industrial engineering, or a related field. Comparable applied research experience will be considered.
• Experience with construction scheduling, resource allocation, project controls, or construction productivity research.
• Demonstrated experience with quantitative modeling, simulation, optimization, or statistical analysis.
• Familiarity with Primavera P6, critical path scheduling, resource-loaded schedules, or comparable methods.
• Ability to explain technical findings clearly to project leaders and nontechnical decision-makers.
• Experience with electrical and mechanical construction, data centers, utilities, energy, or major infrastructure projects is especially relevant.

Benefits

• Assignments are scoped individually, with compensation and time commitments agreed upon before work begins.
• Opportunities may include proposal development and delivery of awarded projects.
• Project delivery assignments depend on contract or funding awards and confirmed availability.
• Applicants may opt into consideration for future AlphaGov proposals and consulting engagements. Applying does not guarantee an assignment. Any opportunity with a separate affiliated company would be discussed and confirmed separately.