Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 8 days ago

Postdoctoral Fellow

Tulane125 open roles

Where
New Orleans, LA, United States
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPostdoctoral FellowTulane · New Orleans, LA, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Tulane's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Tulane postings stay open a median of 7 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 8 days ago

Tulane median: 7 days open

The posting

Job Description

Research responsibilities include:

  • Develop efficient numerical algorithms for density functional theory (DFT) and related electronic-structure calculations. Improve the efficiency and scalability of electron-phonon calculations using methods such as interpolative separable density fitting and iterative eigensolvers.
  • Apply DFT and density functional perturbation theory to complex materials and transition-metal compounds. Use computational modeling and data analysis to study relationships among atomic structure, electronic structure, and material properties.
  • Develop and validate nonempirical density-functional approximations, and explore new numerical formulations of DFT for electronic structure, response properties, and systems with significant electron-correlation effects.
  • Develop and maintain scientific software through algorithm implementation, testing, validation, documentation, and performance optimization. Compare computational predictions with reference data, established theory, and available experimental results.
  • Prepare peer-reviewed publications and present research at scientific meetings. Collaborate with faculty, postdoctoral researchers, and students at Tulane and other academic institutions; assist with student mentoring; and participate in group meetings and seminars.
  • Experience with DFT, time-dependent DFT, electronic-structure theory, many-electron methods, or computational materials physics.
  • Experience developing or implementing numerical algorithms in scientific software, including parallel scientific computing.
  • Knowledge of electronic-structure packages such as VASP, Quantum ESPRESSO, PWDFT, PySCF, or related programs.
  • Programming experience in one or more languages such as Python, C, C++, or Fortran.
  • Strong written and oral scientific communication skills, with the ability to conduct independent research and collaborate effectively with researchers and students.
  • Curriculum Vitae
  • Contact information for at least three professional references

Required Qualifications

Applicants must hold a Ph.D. in physics, chemistry, materials science, applied mathematics, computational science, or a closely related field. The successful candidate should have:

Required Applicant Materials

Interested candidates should submit the following materials:

For further inquiries about this position, please email Dr. Jianwei Sun, at [email protected], and Dr. Ruiqi Zhang at [email protected].

About Us

Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person’s race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane’s employment or educational programs or activities.

Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at [email protected].

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Tulane's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Tulane's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Tulane's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.