Re:Ask HN: Who is hiring? (March 2020)
by pstew on Monday March 02, 2020 @01:20PM
(#22467121)
Cold Spring Harbor Laboratory | Postdoctoral Fellow | Cold Spring Harbor, NY (outside of NYC) | Onsite | Full Time
Two computational postdoctoral positions are available immediately at Cold Spring Harbor Laboratory (CSHL) in the lab of Saket Navlakha ( navlakhalab.net/ ).
Position details
* Work at the interface of theoretical computer science, machine learning, and systems biology.
* Develop bleeding edge machine learning algorithms to answer fundamental questions about biology and disease.
* Discover new ideas for computation by studying problem-solving strategies used in nature (“algorithms in nature”).
* Recent lab successes have been in neural circuit computation and plant architecture optimization, but suggestions for new areas of interest (e.g. cancer) are also welcome.
* Ample opportunities to publish in high tier journals (PI has recent publications in Science and PNAS).
Required Qualifications
* PhD (or graduating soon) in computer science or related computational/bioinformatics field.
* Strong algorithmic and programming skills.
* First author publications in computational biology conferences or journals.
Preferred Qualifications
* Strong publication track record. A first author publication in a high impact factor (>4-5) journal or a paper presented at a top conference (e.g. RECOMB, ISMB, WABI, PSB, BIBM, NIPS, ICML, KDD, PAKDD, ICLR, AISTATS, UAI, ICDE, ICDM, SDM, or CIKM).
* Computer science PhD.
* Machine learning experience.
* Experience or interest in learning biology and collaborating with experimentalists.
Interested? Please submit a CV and a short description of how your research interests overlap with the PI's to [email protected] .
Two computational postdoctoral positions are available immediately at Cold Spring Harbor Laboratory (CSHL) in the lab of Saket Navlakha ( navlakhalab.net/ ).
Position details
* Work at the interface of theoretical computer science, machine learning, and systems biology.
* Develop bleeding edge machine learning algorithms to answer fundamental questions about biology and disease.
* Discover new ideas for computation by studying problem-solving strategies used in nature (“algorithms in nature”).
* Recent lab successes have been in neural circuit computation and plant architecture optimization, but suggestions for new areas of interest (e.g. cancer) are also welcome.
* Ample opportunities to publish in high tier journals (PI has recent publications in Science and PNAS).
Required Qualifications
* PhD (or graduating soon) in computer science or related computational/bioinformatics field.
* Strong algorithmic and programming skills.
* First author publications in computational biology conferences or journals.
Preferred Qualifications
* Strong publication track record. A first author publication in a high impact factor (>4-5) journal or a paper presented at a top conference (e.g. RECOMB, ISMB, WABI, PSB, BIBM, NIPS, ICML, KDD, PAKDD, ICLR, AISTATS, UAI, ICDE, ICDM, SDM, or CIKM).
* Computer science PhD.
* Machine learning experience.
* Experience or interest in learning biology and collaborating with experimentalists.
Interested? Please submit a CV and a short description of how your research interests overlap with the PI's to [email protected] .