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Research Title: Postdoctoral Research Chemist PREP0002996

The work will entail:
Develop targeted and non-targeted analytical mass spectrometric methods for the identification and quantification of organic contaminants in ultra-pure water and other cleaning chemicals used in the semiconductor industry. Explore various extraction and concentration techniques (SPE, SPME, purge-and-trap, headspace, etc.) and/or develop novel concentration techniques to be able to detect contaminants at trace levels. Use high-resolution mass spectrometry for compound discovery of potential unknown organic contaminants.
 

Key responsibilities will include but are not limited to:

  • Develop new methods, approaches, and procedures in cooperation with coworkers or advisors with limited supervision;
  • Using advanced analytical equipment such as GC-MS, GC-MS/MS, GC-HRMS, LC-MS/MS, and LC-HRMS;
  • Develop non-targeted high-resolution mass spectrometry-based methods for compound discovery at trace levels;
  • Investigate various extraction and concentration protocols, and if needed develop novel techniques;
  • Communicate and collaborate with team members
  • Present and publish results as appropriate.

 

Qualifications

  • Ph.D. in Chemistry, or a related field.
  • Experience in chromatography and mass spectrometry such as GC-HRMS, GC-MS/MS, LC-HRMS, LC-MS/MS, etc.
  • Experience with non-targeted data analysis for compound discovery.
  • Experience with method development.
  • Experience with various sample extraction and concentration techniques.
  • Strong oral and written communication skills.
     

To apply: 

  • If you are interested in one of these positions, please send an email with the subject "Job Enquiry PREP000XXXX" to GUNISTPREP@georgetown.edu, where PREP000XXXX is the job number noted above.
  • Please send your CV and a short cover letter explaining your suitability for the position.
  • Please combine your documents into a single document in PDF format.

For the full job description: 
 https://georgetown.box.com/s/63yndvtpw5f3vumi1em2em4nys8puvjf