Minimum qualifications: The position requires a Ph.D. in Physics, Atmospheric Sciences, Atmospheric Chemistry, or related fields from a recognized University/Institute. The candidate should have expertise in dispersion modeling, receptor modeling or other Bayesian approaches for aerosol source apportionment. The candidate will also be required to participate in field campaigns and laboratory chemical analysis. Expertise in ICP/OES and TD-GC-MS for aerosol sample analysis is an advantage. Desirable qualifications: In addition to the minimum qualifications, experience with analysis of hyper-spectral satellite data such as that from OMI, GOME-2, AIRS, MODIS, or IASI is also desirable. The ability to access NASA data in HDF-5 format is a plus she/he should also have good verbal and written communication skills as well as be experienced in the standard computing languages such as C/C++, IDL, MATLAB or Fortran.
Research responsibilities: The post-doc will be required to participate in aerosol source apportionment using US-EPA PMF5 and other expanded ME models. The post-doc will also be expected to have experience in handling instruments, including ICP-OES and TD-GC-MS for aerosol chemical analyses, but his/her primary task will be the development of models and/or adapting existing models for aerosol source apportionment. The post-doc will also have to participate in data quality assurance/quality control (QA/QC) and validation.
Number of posts: 01
Age Limit: Preferably below 32 years. It can be relaxed for a candidate with exceptional abilities.
Duration: Initially for 1 year, extendable upon satisfactory performance.
Salary: Rs. 42,000 per month + 20% HRA (degree awarded) Rs. 37,000 per month + 20% HRA (thesis submitt
How To Apply
Last date for submission of applications: Applications will be considered until a suitable candidate is found and the position is filled. i.e Jan 07, 2020