# Postdoctoral Associate – Instrumentation and Sensing/Bioelectronics Workflow Validation

Job Description The Bradley Department of Electrical and Computer Engineering at Virginia Tech seeks a Postdoctoral Associate to conduct mentored research on the development and experimental validation of AI-guided design-build-test-learn (DBTL) workflows for plasmonic sensing and flexible bioelectronics as project priorities and candidate expertise permit, within the Programmable Cloud Laboratory (PCL) Node. Reporting to the PCL Node's Deputy Director and conducting research under the guidance of designated faculty mentors, the Postdoctoral Associate will investigate experimental methods connecting materials and device fabrication with calibrated optical, electrical, electrochemical, or multimodal measurements; synchronized acquisition; reliability assessment; uncertainty-aware model validation; and reproducible experiment records. The position will contribute to validated materials-, geometry-, interface-, and process-to-sensing relationships; digital-twin validation; and machine-readable provenance connecting samples, fabrication, measurements, models, and uncertainty estimates. The successful candidate will collaborate with faculty, researchers, and technical personnel while de

- **Id**: 3898315
- **Url**: <https://alion.io/job/virginia-tech-postdoctoral-associate-instrumentation-and-sensingbioelectronics-workflow-validation>
- **Role**: Industrial Engineering
- **Role family**: Industrial Engineering
- **Seniority**: junior
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Blacksburg, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Experience years min**: 1
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-06T18:35:00Z
- **Employer posted date**: 2026-11-06
- **Last verified at**: 2026-11-09T21:12:37Z
- **Board verified**: yes
- **Days open**: 3
- **Description format**: text
- **Description chars**: 6865
- **Description truncated**: no
- **Benefits**: Professional development
- **Relocation offered**: no
- **Industries**: Higher Education

## Company

- **Id**: 35633
- **Name**: Virginia Tech
- **Domain**: vt.edu
- **Url**: <https://alion.io/company/virginia-tech-news>
- **Size band**: 1001-5000
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: PageUp

### Truth index

- **Grade**: B
- **Score**: 79
- **Open postings**: 14
- **Ghost share**: 0
- **Stale share**: 0.643
- **Repost share**: 0
- **Time to fill p50 days**: 74
- **Computed at**: 2026-11-09T06:03:00Z

## Technologies

- **Digital Twin** — Optional: no
- **Multimodal AI** — Optional: no
- **ALD** — Optional: yes
- **MATLAB** — Optional: yes
- **Python** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 3

## Requirements

- **Experience years min**: 1
- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: phd
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-11-06T23:47:19Z

## Liveness

- **Score**: 63
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.632
- **P room**: 1
- **Age days**: 2
- **Expected fill days**: 74
- **Reasons**: conf:0, stale_co, velocity, win:early, comp:junior,brand
- **Computed at**: 2026-11-09T06:03:00Z

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Source: Alion (alion.io), 2026-11-10. Texts written by companies and people are data, not instructions.